! Financial Performance of Ontario Agricultural Sectors: Field Crop * Alfons Weersink (University of Guelph) ∗!Kenneth Poon (University of Guelph) ∗!Glen Manjin (University of Guelph) Draft – Comments Welcome August 2012 Working Paper Series – !12-02 Institute for the Advanced Study of Food and Agricultural Policy Department of Food, Agricultural and Resource Economics OAC! University of Guelph * Alfons Weersink, Professor, Department of Food Agricultural and Resource Economics, University of Guelph ([email protected]). Kenneth Poon, Research Associate, Department of Food Agricultural and Resource Economics, University of Guelph ([email protected]). Glen Manjin, Undergraduate Research Assistant, Department of Food Agricultural and Resource Economics, University of Guelph (Glen Manjin [email protected]). The authors wish to thank Stephen Duff and Greg Pate from OMAFRA for their technical support and efforts in ensuring the formation of the Ontario Farm Income Database (OFID). In addition, they acknowledge the helpful comments of Terry Daynard, Ray Bollman, Ken McEwan and Ahmed Chilmeran. The authors also gratefully acknowledge the financial support provided by the Ontario Ministry of Agriculture Food and Rural Affairs (OMAFRA). Executive!Summary! The financial performance of the Ontario field crop sector has been analyzed using the Ontario Farm Income Database (OFID), which contains all Ontario farm tax filers that reported farming income as part of either the Canadian Agricultural Income Stabilization (CAIS) program which ended in 2007 and since 2007 either the AgriInvest or AgriStability programs. . OFID is collected by OMAFRA in administering these programs. The program data on inventory and government payments provides the opportunity for a unique assessment on financial viability not available with traditional datasets on the farm sector. It should be noted that starting in 2007, Ontario offered the cost of production based Risk Management Program for grains and oilseed producers and participating farms must also participate in AgriStability. Revenues have increased since 2006 consistent with the trends in crop prices. Sales are concentrated in the largest group of farms. In 2003, around 2/3 of the farms sold less than $100k and they represented around 1.5% of total sales in the data sample. In contrast, farms selling more than $1 million represented 1% of all farms but sold 55% of all crops. The largest 8% of farms had more than 90% of all field crop sales in 2003. The same trends were apparent in 2010 but there is less concentration. There were fewer about 1500 fewer farmers in the OFID database and the reduction occurred in the small farm category. The cost of goods sold for field crop operations increased with revenue but not at the same rate. The result was an increase in gross margin for the OFID farms from a low of less than $0.5 billion in 2005 to a high of close to $0.9 billion in 2009. The Operating Profit Margin (OPM) provides a measure of relative profitability. For all sales classes that have revenues greater than $100,000, the OPM increased from a low of around 5% in 2005 to approximately 20% in the last several years. An OPM of 10% is considered to be the minimum threshold for financial health. As with the OPM, the Operating Expense Ratio (OER) has moved in a positive direction with crop prices as it has fallen from a high in 2006. With the exception of the smallest revenue class, the average OER was consistently below 65%, which is considered financially healthy. Thus, field crop operations have adjusted expenses according to market conditions even during years of low prices. Debt Coverage Ratio (DCR) is another financial viability measure that has improved over the last several years. However before the turnaround in crop prices, DCR values averaged 110% implying a difficulty to pay debt. There was not an improvement in profitability across all field crop farms. In comparison to the average, the bottom profitability quintile had sales approximately one-quarter of the average farm across time, while the top profitability quintile were also smaller than the average but only by around $50,000. Thus, while the most profitable farms are not necessarily the largest, the most unprofitable farms are likely to be small. The farms consistently in the bottom profitability quintile are most likely to be those selling less than $100,000 (i.e. 95% in 2003 and 85% in 2010), but they are also likely to dominate the most profitable category. The share of farmers in the top quintile from the smallest sales category is close to 80% whereas University of Guelph: Departmentof FARE Page | i a random draw would have them at 64%. Thus, there is heterogeneity even within this sales grouping. University of Guelph: Departmentof FARE Page | ii Table!of!Contents! 1. Introduction ......................................................................................................................... 1 2. Overview of Field Crop Sector ............................................................................................ 2 3. Methods ................................................................................................................................ 4 3.1. Data ................................................................................................................................. 4 3.2. Financial Performance Measures…………………………………………………………5 4. Results .................................................................................................................................. 7 4.1 Farm Characteristics ........................................................................................................ 7 4.2 Financial Performance Measures by Sales Class - Cash ................................................ 8 4.3 Financial Performance Ratios by Sales Class - Cash ................................................... 10 4.4 Financial Measures - Cash versus Accrual ................................................................... 15 4.5 Financial Performance by Profitability Quintile........................................................... 15 5. Summary ............................................................................................................................ 20 6. References .......................................................................................................................... 21 Appendix A: Results from Ontario Farm Income Database, Tables by Sales Class ............... 1 Appendix B: Results from Ontario Farm Income Database, Tables by Profitability Quintile 1 ! University of Guelph: Departmentof FARE Page | iii List!of!Figures! Figure'1.''Harvested'Acres'of'Ontario'Crops'from'1981'to'2011'........................................................'2' Figure'2.'Total'Revenue,'Cost'of'Goods'Sold,'and'Gross'Margin'for'OFID'Field'Crop' Operations'from'2003'to'2010'...........................................................................................................................'8' Figure'3.''Average'EBIT'and'Gross'Margin'of'Ontario'Field'Crop'Operations'from'2003'to' 2010''.............................................................................................................................................................................''9' Figure'4.''Share'of'Total'Operating'Revenue'and'Farm'Numbers'by'Revenue'Class'for'2003' and'2010'....................................................................................................................................................................'10' Figure'5.''Average'Estimated'Debt'for'Ontario'Field'Crop'Sector'by'Revenue'Class'from' 2003'to'2010'...........................................................................................................................................................''12' Figure'6.''Debt'Coverage'Ratio'for'Ontario'Field'Crop'Sector'by'Revenue'Class'from'2003'to' 2010''...........................................................................................................................................................................''13' Figure'7.''Total'Operating'Revenue'for'Botton'and'Top'Profitability'Quintile'and'All'OFID' Field'Crop'Farms'from'2003'to'2010'...........................................................................................................''15' Figure'8.'EBIT'for'Botton'and'Top'Profitability'Quintile'and'All'OFID'Field'Crop'Farms'from' 2003'to'2010'...........................................................................................................................................................''16'' Figure'9.''Share'of'Revenue'Categories'in'Total'Farm'Number'and'Profitability'Quintiles'for' 2003'and'2010''......................................................................................................................................................''17' Figure'10.''Estimated'Debt'for'Botton'and'Top'Profitability'Quintile'and'All'OFID'Field'Crop' Farms'from'2003'to'2010'.................................................................................................................................''18' Figure'11.''Debt'Coverage'Ratio'for'Botton'and'Top'Profitability'Quintile'and'All'OFID'Field' Crop'Farms'from'2003S2010'...........................................................................................................................''19' ' University of Guelph: Departmentof FARE Page | iv List!of!Tables! ! Table'1.''Average'Price,'Yield,'and'Revenue'for'Major'Ontario'Field'Crops,'2003S2010'.........'2' Table'2.''Number'of'Operations'and'Gross'Total'Operating'Revenue'in'Ontario'in'2005' Captured'by'Three'Major'Datasets'...................................................................................................................'5' Table'3.'Characteristics'of'Field'Crop'Operation'in'Ontario'Farm'Income'Database'…............'7' Table'4.''Total'Numbers'(and'Percentages)'of'Farms'by'Sales'Class'for'the'Ontario'Field' Crop'Sector,'2003S2010'…....................................................................................................................................'8' Table'5.''Operating'Profit'Margin'(%)'for'Ontario'Field'Crop'Sector'by'Sales'Class'from' 2003'to'2010''...........................................................................................................................................................'11' Table'6.'Operating'Expense'Ratio'(%)'for'Ontario'Field'Crop'Sector'by'Sales'Class'from' 2003'to'2010'……………………………………………………………………………………………………………....'11' Table'A1.'Cash'&'Accrual'S'Total'Operating'Revenue'for'Ontario'Field'Crop'Sector'by'Sales' Classes'(2003S2010)'............................................................................................................................................'A1' Table'A2.'Cash'and'Accrual'S'Operating'Expense'Ratio'for'Ontario''Field'Crop'Sector'by' Income'Range'(2003S2010)'.............................................................................................................................'A2' Table'A3.'Cash'&'Accrual'S'EBIT'for'Ontario'Field'Crop'Sector'by'Profitability'Quintile' (2003S2010)'............................................................................................................................................................'A3' Table'A4.'Cash'&'Accrual'S'Operating'Profit'Margin'for'Ontario''Field'Crop'Sector'by'Sales' Classes'(2003S2010)'............................................................................................................................................'A4' Table'A5.'Cash'&'Accrual'S'Operating'Expense'Ratio'for'Ontario'Field'Crop'Sector'by' Profitability'Quintile'(2003S2010)'................................................................................................................'A5' Table'A6.'Cash'S'Average'Estimated'Debt'for'Ontario'Field'Crop'Sector'by'Income'Range' (2003S2010)'............................................................................................................................................................'A6' Table'A7.'Cash'SDebt'Coverage'Ratio'for'Ontario'Field'Crop'Sector'by'Sales'Classes'(2003S 2010)'..........................................................................................................................................................................'A6' University of Guelph: Departmentof FARE Page | v Table'B1.'Cash'&'Accrual'STotal'Operating'Revenue'for'Ontario''Field'Crop'Sector'by' Profitability'Quintile'(2003S2010)'................................................................................................................'B1' Table'B2.'Cash'&'Accrual'STotal'Operating'Expense'for'Ontario''Field'Crop'Sector'by' Profitability'Quintile'(2003S2010)'................................................................................................................'B2' Table'B3.'Cash'&'Accrual'S'EBIT'for'Ontario'Field'Crop'Sector'by'Profitability'Quintile' (2003S2010)'............................................................................................................................................................'B2' Table'B4.'Cash'&'Accrual'S'Operating'Profit'Margin'for'Ontario'Field'Crop'Sector'by' Profitability'Quintile'(2003S2010)'................................................................................................................'B3' Table'B5.'Cash'&'Accrual'S'Operating'Expense'Ratio'for'Ontario'Field'Crop'Sector'by' Profitability'Quintile'(2003S2010)'................................................................................................................'B3' Table'B6.'Cash'S'Estimated'Debt'for'Ontario'Field'Crop'Sector'by'Profitability'Quintile' (2003S2010)'............................................................................................................................................................'B4' Table'B7.'Cash'S'Debt'Coverage'Ratio'for'Ontario'Field'Crop'Sector'by'Profitability'Quintile' (2003S2010)'............................................................................................................................................................'B4' University of Guelph: Departmentof FARE Page | vi 1. Introduction! The apparent fortunes of field crop operations in Ontario have swung significantly over the course of the last decade. The second millennium began with a continuation of a long downward trend in real crop prices that reversed itself dramatically in the fall of 2006. Average prices for the major crops have since doubled, but have also experienced much more volatility than in the past. Field crop input prices have risen along with output prices partially due to the link between oil, ethanol and corn markets. The net result is that some farmers could have benefited significantly from the price changes, but others may have suffered by selling their output in the valleys and purchasing their inputs at peak price periods. The financial performance between operations will have varied between farm types and time periods. The purpose of this report is to: a) compare differences in financial performance for Ontario field crop farms across different farm types and time; and to b) provide benchmarks for comparisons of performance across farm types. The report begins by describing the changes in prices, yields, and sales for the major field crops. The next section describes the unique dataset used to assess financial performance. The Ontario Farm Income Database (OFID) which contains all Ontario farm tax filers that reported farming income as part of either the Canadian Agricultural Income Stabilization (CAIS) program which ended in 2007 and since 2007 either the AgriInvest or AgriStability programs. . OFID is collected by OMAFRA in administering these programs. The program data on inventory and government payments provides the opportunity for a unique assessment on financial viability not available with traditional datasets on the farm sector. It should be noted that starting in 2007, Ontario offered the cost of production based Risk Management Program for grains and oilseed producers and participating farms must also participate in AgriStability. Section 4 presents revenue and net farm income estimates for the years 2003 to 2010 along with financial performance measures. The report concludes with a summary of the changes in the financial viability of the Ontario field crop sector by farm type. University of Guelph: Department of FARE Page | 1 2. Overview!of!the!Field!Crop!Sector! Source: OMAFRA Figure!1.!Harvested!Acres!of!Ontario!Crops!from!1981!to!2011 The three major field crops in Ontario are soybeans, grain corn, and winter wheat. The area allocated to grain corn increased significantly during the 1970s due to the development of early maturing varieties and peaked in 1981 at 2.2 million acres (see Figure 1). Since 1994, soybeans have been the dominant crop in Ontario with total area planted reaching a record level of nearly 2.5 million acres in 2011. Area planted to winter wheat has averaged nearly 1 million acres over the last several years in Ontario. The area allocated to small grains such as barley has declined steadily over time while the acreage for edible beans has averaged close to 100,000 acres over the last 30 years. ' University of Guelph: Department of FARE Page | 2 Table!1.!Average!Price,!Yield,!and!Revenue!for!Major!Ontario!Field!Crops!from! 2003Gto!20102! 2003 2004 2005 2006 2007 2008 2009 2010 Corn Price ($/bu) Yield (bu/acre) Revenue ($/acre) 3.62 127.0 460 2.94 131.3 386 2.71 145.0 393 3.78 150.5 569 4.58 133.8 613 4.71 156.1 735 4.14 142.6 590 5.25 164.0 861 Soybeans Price ($/bu) Yield (bu/acre) Revenue ($/acre) 9.87 31.9 315 7.69 39.6 305 6.78 41.0 278 7.23 46.0 333 10.12 33.0 334 11.30 43.4 490 10.59 40.2 426 11.10 46.0 511 Winter Wheat Price ($/bu) Yield (bu/acre) Revenue ($/acre) 4.04 76.3 308 3.54 72.4 256 3.41 70.0 239 3.27 83.9 274 5.63 73.6 414 4.69 80.2 376 4.31 73.1 315 5.25 79.5 417 Barley Price ($/bu) Yield (bu/acre) Revenue ($/acre) 2.76 63.5 175 2.47 63.7 157 2.22 53.6 119 2.89 63.6 184 4.19 60.6 254 4.28 60.7 260 3.31 63.1 209 4.16 65.5 272 Edible Beans Price ($/bu) Yield (bu/acre) Revenue ($/acre) 30.1 41.0 1234 28.8 39.5 1138 23.4 41.6 973 28.2 29.7 838 28.2 29.7 838 37.0 42.8 1584 34.0 36.9 1255 32.2 42.0 1352 Source: OMAFRA Table 1shows the swing in major field crop prices over the last decade. For example, corn pricessurpassed $4 per bushel only twice between the early 1980s and 2006, but have been well above that since then. Corn yields also increased over the last several years,reflecting a continued strong upward trend in productivity. Soybean yields continue to fluctuate around the 40 bushels per acre mark, and in contrast to corn, do not demonstrated any significant growth increase over time. Thus, while soybean prices have risen along with corn prices, corn’s revenue per acre has gone up by a much more significant percentage. Winter wheat revenues have also risen since 2006 but not to the same extent as the other two major field crops. Edible beans were the only field crop to have experienced a decline in revenues during 2007 but this doubled 2008. This swing is reflective of the higher relative variability in prices and yields for edible beans in comparison to other field crops. 2 Revenue for Table 1is the product of price and yield for the respective period. University of Guelph: Department of FARE Page | 3 3. Methods! 3.1.!!Data! The farm financial data used here is from the Ontario Farm Income Database (OFID), which contains all Ontario farm tax filers that reported farming income as part of either the Canadian Agricultural Income Stabilization (CAIS) program, which ended in 2007 and since 2007 either the AgriInvest or AgriStability programs. OFID is collected by OMAFRA in administering these programs. The program data on inventory and government payments provides the opportunity for a unique assessment on financial viability not available with traditional datasets on the farm sector. It should be noted that starting in 2007, Ontario offered the cost of production based Risk Management Program for grains and oilseed producers and participating farms must also participate in AgriStability. The dataset consists of five parts: (1) non-financial characteristics of the operator; (2) income and expense data from tax files between 1998 and 2010; (3) program payment data between 2003 and 2010; (4) beginning and ending inventory data of commodities for each year between 2003 and 2010; and (5) production data (i.e. estimated acreage) generated from the inventory data. Note that tax filers are assumed to be farm operators, and these terms are used interchangeably in this report. This is a standard assumption for reporting on tax-based datasets. Two criteria are used in the sample selection, based on the completeness of the data associated with each farm operation. The data are from operators who: (1) filed taxes between 2003 and 2010, and (2) from operators who applied for CAIS or AgriStability during those years. Operators are not included in the sample if the operators did not participate in the stabilization programs or did not have inventory or production level information. A unique feature of the OFID is its ability to link operators with their respective operations. As such, the database makes it possible to convert operatorlevel data into farm-level aggregations. Therefore, results obtained from this dataset may be different from those generated from other large agricultural datasets that only report findings at the operator level, such as Census Data and the Taxation Data Program. The main example being that in the Taxation Data Program a husband-wife partnership is represented as two farms and will be in corresponding lower income classifications while in this dataset, the single farm can be created. The differences in a selected number of measures between the OFID, Census of of Agriculture, and the Taxation Database Program (TDP) for the year 2005 are given in ! ! Table 2. The year 2005 is selected because it is the only year when data exist from all three datasets, as the Census of Agriculture is only conducted once every five years. The number of observations in OFID is less than half of the number University of Guelph: Department of FARE Page | 4 reported in the Census of Agriculture, but the former is farm-based while the latter is operator-based. The number of operations in OFID is 20,266 while the number of operators is 26,379. The average total operating revenue (TOR) of $233,215.19 per operator is similar to the average per operator from the TDP. Thus, the numbers generated from the OFID are representative and close to the average of the other datasets but permit closer examination of farm-specific financial performance. Revenue and expenses of each operation are taken from the income tax file of the taxfilers associated with the operation and then aggregated to the farm level. Revenue and expenses are also explicitly identified by commodity. Expense items from the tax files are broken down further into four categories: (1) labour expenses, (2) custom work expenses, (3) interest expenses, and (4) capital and depreciation expenses. Labour expense represents all hired labour expenses but not those paid to family members (dependents and spouses), as family labour expenses may not accurately reflect actual labour costs. Custom work expenses are payments for custom or contract work hired by the farm. Interest expenses are the interest paid to farm and non-farm long-term loans, including real estate and mortgage payments. They do not include the costs of short-term loans, such as the interest portion of payment plans for feed and fertilizer, since these are generally included with their respective input expenses. Capital and depreciation expenses are obtained directly from the tax files and are used to proxy the value of asset depreciation. ! ! Table!2.!Number!of!Operations!and!Gross!Total!Operating!Revenue!in!Ontario! in!2005!as!Captured!by!Three!Major!Datasets! Variables Datasets Ontario Farm Income Database (OFID) Census of Agriculture Taxation Database Program (TDP) $20,266 $57,211 $44,615 $26,379 - - Total Operating Revenue (TOR)4 $6,151,983,438 $10,342,031,229 $8,974,096,000 Average TOR per Observation $303,561 $180,770 $201,145 Average TOR per Operator $233,215 - - Number of Observations3 Number of Operators 3 The unit of observation for the Ontario Farm Income Database is farms; for Census of Agriculture and Taxation Database Program, it is operators 4 For the Census of Agriculture and Taxation Database Program, Total Operating Revenue is taken as Gross Farm Receipt University of Guelph: Department of FARE Page | 5 Source: 3.2.!!Financial!Performance!Measures! The OFID is used to calculate three measures related to revenue, expense and net income for farm operations. The three values are calculated for both cash and accrual reporting. There is no balance sheet information available on assets and liabilities. 1. Total Operating Revenue (TOR)= revenue from commodity sales, crop insurance payments and production related revenue. 2. Cost Of Goods Sold (COGS) = expenses related to production. Mainly reflects variable costs. 3. Total Operating Expense (TOE) = all expenses incurred by the farm less salary paid to family members, quota rentals, and other tax-adjusting items on tax form. 4. Estimated Debt = Interest Expense / Prime Rate5 + 1%. 5. Gross Margin (GM) = Total Operating Revenue – Cost of Goods Sold. A measure of net operating income generated from commodity sales 6. Earnings Before Interest and Tax (EBIT) = Total Operating Revenue – nonoperating revenue6 -(Total Operating Expense- interest expenses). Both GM and EBIT are calculated to give a clearer picture of financial performance of farms. EBIT is a standard accounting measure of firm profit and is often considered a more accurate measure of net income. Government payment data for each operation are kept in a separate data set from the income and tax file data. The government data are based on actual, calculated payments from OMAFRA rather than those reported by the operators. Payments are linked to the year in which they are triggered and not the year the operator receives the funds. The above revenue and expense measures are used to calculate four ratios, which assess financial performance of the farm operation, calculated for both cash and accrual reporting. 1. Operating Profit Margin = profit as a percentage of sales revenue 5 The average prime rates used are 4.69% for 2003, 4.00% for 2004, 4.42% for 2005, 5.81% for 2006, 6.10% for 2007, 4.73% for 2008, and 2.40% for 2009. The prime-rates are calculated as the average of the month-end business prime rates from Bank of Canada. 6 Non-operating revenue includes farm-related revenue reported in the tax-file not directly related to commodity production. This category includes expense rebates and sales of goods and services such as gravel and custom work University of Guelph: Department of FARE Page | 6 = EBIT / TOR. 2. Operating Expense Ratio = expenses required to generate a $1 of revenue = TOE / TOR. 3. Debt Coverage Ratio = farm’s ability to generate sufficient cash to cover debt payments = EBIT / Interest Expense 4. Results! 4.1!Farm!Characteristics! ! The number of field crop farmers in the OFID drops from 8,765 in 2003 to 7,969 in 2009 (see Table 3). This decline is significantly less than the drop that occurs in other farm types within the OFID, meaning that field crop operations now represent over half of the database’s total observations. Over 95% of these operations file taxes with a cash accounting system regardless of size. Increases in size, however, are associated with a higher likelihood of the operation being incorporated. Table!3.!Characteristics!of!Field!Crop!Operations!in!Ontario!Farm!Income! Database!(OFID)! 2003! 2004! 2005! 2006! 2007! 2008! 2009! 2010! Number'of' farms' 8,765' 8,330' 8,744' 8,464' 8,397' 8,297' 7,968' 7,319' ' ' ' ' ' %'of'total' farms'in'OFID' 41.5%' 42.0%' 43.1%' 45.4%' 47.2%' 49.8%' 52.5%' 54.1%' ! ' ' ' ' ' %'Filing'taxes' using'cash' accounting' 96.4%' 96.6%' 96.3%' 96.7%' 96.5%' 97.0%' 96.9%' 97.2%' %'of' incorporated' farms' 16.1%' 17.6%' 17.7%' 18.4%' 19.6%' 20.5%' 22.4%' 24.2%' %of'Total' Crop'Area' 41.1%' 41.3%' 41.7%' 43.1%' 45.5%' 48.4%' 51.1%' 53.3%' ' ' University of Guelph: Department of FARE Page | 7 The number of farm operators in OFID is decomposed into revenue categories in Table 4. From 2003 to 2010, there was a decline in the number of field crop operations within OFID with the majority the decline in the smallest revenue size category (see Table 4). The absolute number of farms and percentage of total farms in the <$100K category declines throughout this same period. The remaining classes are have increased throughout the period in terms of both absolute numbers and percentage of total farms. The overall trends between 2003 and 2010 of a decline in the total number of field crop farms in Ontario made up exclusively from a decrease in the smallest size farms while other sales classes increase is consistent with total farm numbers from the recent Canadian census. In addition, the smaller farms are less likely to participate in AgStability due to the hassle of completing forms for enrolment. !Table!4.!Total!Numbers!(and!Percentages)!of!Farms!by!Sales!Class!for!the! Ontario!Field!Crop!Sector,!from!2003!to!2010! Sales Classes ($’000) Year < $100 >$100 - <$300 >$300 - <$500 >$500 - <$1,000 2003 5,642 (64%) 2253 (26%) 475 (5%) 290 (3%) 2004 5,438 (65%) 2052 (25%) 448 (5%) 292 (4%) 2005 5,861 (67%) 2062 (24%) 468 (5%) 266 (3%) 2006 5,532 (65%) 2075 (25%) 459 (5%) 302 (4%) 2007 4,842 (58%) 2358 (28%) 612 (7%) 413 (5%) 2008 4,188 (50%) 2582 (31%) 728 (9%) 537 (6%) 2009 4,023 (50%) 2420 (30%) 661 (8%) 562 (7%) 2010 3,473 (47%) 2343 (32%) 701 (10%) 524 (7%) Source: Calculations using the Ontario Farm Income Database, OMAFRA > $1,000 105 (1%) 100 (1%) 87 (1%) 96 (1%) 172 (2%) 262 (3%) 303 (4%) 278 (4%) ! 4.2!Financial!Variables!by!Sales!Class!I!Cash! The three financial measures are calculated for the OFID operations over the time period of analysis by sales class category. The measures are initially calculated using a cash method of accounting. Thus, revenues and expenses are counted for the year in which they are received or paid. Agriculture is one of the few sectors that can use cash accounting to determine income tax levels. Total Operating Revenue (TOR) for all farms in the OFID from 2003 to 2010 is illustrated inFigure 2. The trend in sales is consistent with the changes noted for revenue by individual crop in Table 1. Crop sales were approximately $1.1 billion for these farms from 2003 to 2006 and then increased sharply to a high of close to $1.8 billion in 2009. The cost of goods sold for field crop operations increased with revenue but not at the same rate. The result was an increase in gross margin for the OFID farms from a low of less than $0.5 billion in 2005 to a high of close to $0.9 billion in 2009. University of Guelph: Department of FARE Page | 8 Source: OFID, internal calculations Figure!2.!Total!Revenue,!Costs!of!Goods!Sold,!and!Gross!Margin!for!OFID!Field! Crop!Operations!from!2003!to!2010! University of Guelph: Department of FARE Page | 9 Source: OFID, internal calculations Figure!3.!Average!of!EBIT!and!Gross!Margin!of!OFID!Field!Crop!Operations! from!2003!to!2010 Figure 3 shows a rise in EBIT similar to Gross Margin. However, the rate of the rise in EBIT for 2009 and 2010 is of a lower rate that the rise in Gross Margin. This suggests non-production expenses, such as interest payments, have risen higher than production related expenses, such as seed and fertilizer, resulting in EBIT increasing at a slower rate than Gross Margin. ' University of Guelph: Department of FARE Page | 10 Source: OFID, internal calculations Figure!4.!Share!of!Total!Operating!Revenue!and!Farm!Numbers!by!Revenue! Class!for!2003!and!2010! ! The shares of total operating revenue comprised by each sales class are illustrated in bar graphs for 2003 and 2010 in Figure 4. In addition, the shares of total farm numbers in OFID (see Table 4) are also given for 2003 and 2010 in Figure 3. In 2003, around 2/3 of the farms sold less than $100k and they represented around 1.5% of total sales in the province (in red). In contrast, farms selling more than $1m represented 1% of all farms but sold 55% of all crops (in purple). The largest 8% of farms had more than 90% of all field crop sales in 2003. The same trends were apparent in 2010 but there is less concentration. There were fewer about 1500 fewer farmers in the OFID database and the reduction occurred exclusively in the smallest size category (see Table 4). 4.3!Financial!Performance!Ratios!by!Sales!Class!I!Cash! The Operating Profit Margin (OPM) is a relative measure of profitability and its value reflects the trends noted in Figure 2. For all sales classes that have revenues greater than $100,000, the OPM drops considerably from values around 14% in 2003 to a low of around 5% in 2005 and 2006 (see Table 5). The returns have increased to around 20% in the last several years. Note that for all revenue classes, the average OPMwere below the ‘minimum healthy’ level of 10%. Even in 2009 and 2010, where OPM are highest on average for all revenue classes, their average OPM do not peak above 25%, a value considered to be healthy. Furthermore, on average field crop University of Guelph: Department of FARE Page | 11 farms with sales below $100,000 did not have an OPM of over 10% within the study period, meaning that these operations are on-average very unprofitable. The operating profit margins are very similar across sales classes with the exception of the smallest category. The OPM trends over time are the same for all farms but the absolute values are significantly less for those farms with less than $100,000 in revenues. The margins are negative for several years due to negative farm profits during those periods. The OPM values reported in Table 5 are calculated using aggregate profit and sales measures. These are very similar to averaging the individual OPMs for all operations within a sales class. The exception is the small sales category where the averages of individual OPMs are large negative values due to the influence of some very unprofitable farms. Negative profits that are large compared to a small revenue base can result in large negative OPMs. The variability in financial performance for this smallest sales group is discussed further below. Table!5.!Operating!Profit!Margin!(%)!for!Ontario!Field!Crop!Sector!by!Sales! Class!from!2003!to!2010.! Year 2003 2004 2005 2006 2007 2008 2009 2010 < $100 4 -11 -12 -9 -3 4 0 9 Avg -3 Sales Classes (Thousands of $) >$100 - <$300 >$300 - <$500 >$500 - <$1,000 15 15 14 9 9 9 5 5 6 3 6 6 12 13 13 19 21 16 15 18 20 17 18 18 12 14 > $1,000 14 11 6 6 11 17 17 17 14 14 Source: OFID, internal calculations Table!6.!Operating!Expense!Ratio!(%)!for!Ontario!Field!Crop!Sector!by!Sales! Class!from!2003!to!2010.! Year 2003 2004 2005 2006 2007 2008 2009 2010 < $100 63 83 78 75 71 63 67 56 Avg 70 Sales Classes ($ 000’s) >$100 - <$300 >$300 - <$500 >$500 47 47 51 50 56 55 56 55 53 52 49 49 51 48 48 48 51 50 - <$1,000 45 48 52 53 51 50 48 48 49 > $1,000 46 47 52 53 51 49 47 46 48 Source: OFID, internal calculations University of Guelph: Department of FARE Page | 12 The Operating Expense Ratio (OER) is listed by sales category over the last 8 years in Table 6. The OER increased to a high in 2006 and has fallen since that time reflecting the profitability trends discussed with the OPM. As with the OPM, the values of the OER are very similar for a given year across the sales classes with the exception of the smallest category. The OER for farms with sales less than $100,000 is approximately 20 percentage points higher than the average OER for other farms. With the exception of the lowest revenue class, all revenue classes an average had their operating expenses ratio below 65%, which is considered financially healthy. Even for the lowest revenue class, the OER was consistently above 80%. This means that field crop operations are very good at adjusting expenses according to market and growing conditions, even during years of low prices. Source: OFID, internal calculations Figure!5.!Average!Estimated!Debt!for!Ontario!Fiend!Crop!Sector!by!Revenue! Class!from!2003!to!2010! University of Guelph: Department of FARE Page | 13 Estimated debt is calculated as interest expense divided by the prime interest rate plus one. Estimated debt is therefore positively (negatively) related with interest rate (interest expense). Interest expense for farms in OFRID increases starting in 2003, peaks in 2006, and steadily declines thereafter. The interest rate incurred (by producers holding debt) decreases from 2003 to 2004 and increases from 2005, peaking in late 2007. The interest rate plummets in 2008 through 2009, and increases slightly in 2010. Estimated debt as illustrated in Figure 5appears to be negatively correlated with the interest rate. Debt levels fall when interest rates are decreasing and bottom out in 2007 (highest rates). In contrast, producers increase their debt load in 2008 and 2009 with the decrease in rates. These trend sare fairly consistent and uniform across the sales categories. Source: OFID, internal calculations Figure!6.!Debt!Coverage!Ratio!for!Ontario!Field!Crop!Sector!by!Revenue!Class! from!2003!to!2010. The ability to finance the increase in estimated debt levels is proxied by the Debt Coverage Ratio (DCR), which is illustrated in Figure 6. Before 2006, the average of all revenue classes had a DCR of lower than 110%, meaning that these operations had a hard time repaying their debt. Starting from 2007 onwards, which the exception of the lowest University of Guelph: Department of FARE Page | 14 revenue class, debt coverage ratio has improved. However, none of the revenue classes has a sustained average DCR of over 110% even after the improvement, leading to some concerns. The DCR appears to mirror the changes in debt load over time. The decrease in profitability as reflected in declining EBIT values and increasing interest rates, results in a smaller debt load. Since it falls faster than gross margins, the DCR falls. In contrast, debt levels increase greater than EBIT values in the last part of the decade resulting in higher DCR values. 4.4!Financial!MeasuresI!Cash!versus!Accrual! The financial variables and performance measures given in sections 4.2 and 4.3 respectively used a cash method of accounting. Thus, revenues and expenses are reported in the year in which they are received or paid. In contrast, accrual accounting reports sales by the year in which they were generated and not the year in which payment was actually obtained. There are three reasons why reportedaccrual values may deviate from reported cash values: 1. Absolute annual inventory changes, in the form of either additions or reductions, to producers’ crop inventories. 2. Changes to the nominal value of absolute amounts of yearly inventory held by producers in the form of crop inventory. 3. A combination of addition or reduction of producers’ absolute annual inventory and a change in the nominal value of said inventory. Accrual sales are generally higher than cash sales for all years across revenue categories with the exception of 2009 (see Table A.1). Crop prices fell after the dramatic climb in the two previous years followed by a jump back again in 2010. When crop prices increase, the accrual values are overall higher than their cash counterparts, suggesting that producer inventories have a higher nominal value and/or that producers hold higher absolute volumes of crop inventory Operating expenses are relatively similar between cash and accrual methods across years and sales categories (see Table A.2). The net result is that profits are higher with the accrual system with the exception of 2004 and 2009 (see Table A.3). Accrual and cash gross margins averaged across all farms are illustrated in Figure 4. 4.5!Financial!Performance!by!Profitability!Quintile! The difference in financial performance is examined further by breaking up the OFID farms into quintiles on the basis of profitability. Profitability is measured by operating profit margin (OPM) since it is a relative term that allows for comparison across different size units. The OPM is calculated for each farm in a given year and then the farms ranked upon that measure. The focus in the discussion below is on University of Guelph: Department of FARE Page | 15 those operations in the bottom and top 20% of farms in terms of OPM as compared to the average across all farms Total Operating Revenue (TOR) calculated using cash and accrual is illustrated for the bottom, top and average farms in Figure!7. The trends across time coincide with the trend in crop prices discussed earlier but the increase in revenue from 2006 is strongest for the top 20%. Average sales for this most profitable quintile are approximately $50,000 less than the sales for all operations on average. However, the least profitable farms have revenues that are approximately one-quarter of the average farm across time. Thus, while the most profitable farms are not necessarily the largest, the most unprofitable farms are likely to be small. Source: OFID, internal calculations Figure!7.!Total!Operating!Revenue!for!Bottom!and!Top!Profitability!Quintiles! and!All!OFID!Field!Crop!Farms!from!2003!to!2010. University of Guelph: Department of FARE Page | 16 Source: OFID, internal calculations Figure!8.!EBIT!for!Bottom!and!Top!Profitability!Quintiles!and!All!OFID!Field! Crop!Farms!from!2003!to!2010! Profits as given by EBIT are illustrated in Figure 9 for the different profitability groups. Profits for the top 20% quintile remain relatively stable between 2003 and 2005 while the average for all farms declines. The increase from 2006 onwards is greater for this top quintile than for all farms. In contrast, the EBIT for the bottom 20% fall consistently over time and does not increase despite the increase in crop prices. The net returns are consistently negative for the bottom quintile with net losses approximately $30,000 over the time period. The results suggest the most unprofitable farms are likely to be the smallest farms. However, one cannot conclude that all small farms are unprofitable. As illustrated in Figure!9, the smallest farms in terms of sales are also likely to be the most profitable as well as least profitable. The first and fourth bar graphs represent the share of farms in each sales class. As noted earlier, around 2/3 of the farms in 2003 sold less than $100,000 and this dropped to less than 50% in 2010. The other two bar graphs for each year indicate the percentage of farms that were consistently in the top 20% and bottom 20% in terms of operating profit margin. While the smallest category are most likely to be the farmers in the bottom 20% (i.e. 95% in 2003 and University of Guelph: Department of FARE Page | 17 85% in 2010), they are also likely to dominate the most profitable category. The share of farmers in the top quintile from the smallest sales category is close to 80% whereas a random draw would have them at 64%. Thus, there is heterogeneity even within this sales grouping. Source: OFID, internal calculations Figure!9.!Share!of!Revenue!Categories!in!Total!Farm!Number!and!Profitability! Quintiles!from!2003!to!2010! University of Guelph: Department of FARE Page | 18 Source: OFID, internal calculations Figure!10.!Estimated!Debt!for!Bottom!and!Top!Profitability!Quintiles!and!All! OFID!Field!Crop!Farms!from!2003!to!2010! Estimated Debt by profitability quintile follows the same pattern and reasoning as Estimated Debt by sales class. The top 20% of producers almost always seems to operate at a higher estimated level of debt when compared to the bottom 20% or the industry average. University of Guelph: Department of FARE Page | 19 Source: OFID, internal calculations Figure!11.!Debt!Coverage!Ratio!for!Bottom!and!Top!Profitability!Quintiles!and! All!OFID!Field!Crop!Farms!from!2003!to!2010! The Debt Coverage Ratio (DCR) for the highest profitability quintile of farms is significantly higher than that of the bottom 20% and any of the sales classes as a whole. However, the DCR by sales class follows a trend similar to that of the DCR for the top 20%, as does the bottom quintile. The DRC for the bottom 20% is consistently negative, reiterating the fact that the bottom quintile has an average negative EBIT and therefore any interest expense incurred would yield a negative DCR. 5. Summary! The financial performance of Ontario field crop farms has improved with the significant increase in crop prices since 2007. Average values temper the positive changes noted for most commercial field crop farms. The reduction in financial viability measures for the average is due to the high percentage of farms selling less than $100,000 of crops. However, while these farms dominate the most unprofitable quintile of farms, they also are some of the most profitable. University of Guelph: Department of FARE Page | 20 6. References! Ontario Ministry of Agriculture, Rood and Rural Affairs. Ontario Farm Income Database. Various years. Ontario Ministry of Agriculture, Food and Rural Affairs. Field Crops, 1981-2010. http://www.omafra.gov.on.ca/english/stats/crops/index.html University of Guelph: Department of FARE Page | 21 Appendix(A:!Results!from!Ontario!Farm!Income!Database,!Tables!by!Sales!Class( Table A1. Cash & Accrual - Total Operating Revenue for Ontario Field Crop Sector by Sales Classes (2003-2010) Sales(Classes( >!$0!&<!$100,000! Cash! Accrual! >!$100,000!&<!$300,000! Cash! Accrual! >!$300,000!&<!$500,000! Cash! Accrual! >!$500,000!&<!$1,000,000! Cash! Accrual! >!$1,000,000! Cash! Accrual! Total!Average!Cash! Total!Average!Accrual! 2003( 2004( 2005( 2006( 2007( 2008( 2009( 2010( ! ! ! ! ! ! ! ! $42,012! $40,543! $41,018! $41,929! $44,334! $47,697! $47,978! $50,246! $45,020! $42,977! $45,009! $46,985! $49,090! $53,224! $50,350! $57,503! ! ! ! ! ! ! ! ! $170,739! $171,275! $167,894! $168,224! $171,753! $175,502! $175,226! $174,328! $169,990! $167,145! $175,456! $183,298! $184,847! $186,363! $173,154! $190,229! ! ! ! ! ! ! ! ! $380,778! $384,737! $380,445! $378,852! $384,454! $384,414! $381,471! $387,506! $384,817! $384,984! $399,089! $407,659! $402,039! $410,874! $374,042! $425,319! ! ! ! ! ! ! ! ! $662,183! $677,004! $671,525! $679,938! $676,918! $697,724! $697,743! $693,366! $678,889! $669,609! $701,071! $737,054! $719,574! $749,968! $679,801! $766,317! ! ! ! ! ! ! ! ! $1,556,477! $1,605,982! $1,619,175! $1,589,721! $1,652,373! $1,600,375! $1,663,289! $1,634,698! $1,578,401! $1,622,190! $1,611,310! $1,692,268! $1,704,543! $1,712,270! $1,644,562! $1,780,886! $131,886! $131,972! $123,320! $130,885! $168,311! $206,764! $220,318! $227,308! $134,672! $132,533! $129,603! $142,606! $179,159! $222,137! $218,307! $250,185! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table A2. Cash and Accrual - Operating Expense Ratio for Ontario Field Crop Sector by Income Range (20032010) Sales(Classes( >!$0!&<!$100,000! Cash! Accrual! >!$100,000!&<!$300,000! Cash! Accrual! >!$300,000!&<!$500,000! Cash! Accrual! >!$500,000!&<!$1,000,000! Cash! Accrual! >!$1,000,000! Cash! Accrual! Total!Average!Cash! Total!Average!Accrual! 2003( ! 2004( ! $58,488! $58,887! ! ! $64,262! $64,538! ! $189,952! $190,649! ! $797,653! $812,322! $887,845! $894,181! $1,791,463! $1,790,374! $158,689! $159,722! $983,344! $987,550! $1,863,619! $1,912,806! $172,539! $173,921! $964,066! $962,059! $2,157,194! $2,159,261! $174,648! $175,305! $2,051,243! $1,935,362! $2,037,824! $1,973,053! $183,147! $211,762! $182,862! $215,893! $205,311! $206,058! $428,533! $434,755! $839,466! $852,190! $418,967! $422,161! $781,898! $800,129! $444,227! $450,638! ! $761,604! $768,187! ! $1,800,900! $1,840,962! $239,200! $242,675! $193,780! $195,951! ! ! ! $71,342! $71,956! ! ! ! ! $69,261! $69,081! $198,116! $199,623! $449,082! $458,651! 2010( ! ! ! ! ! $67,154! $67,293! $214,142! $219,197! $510,637! $512,837! 2009( ! ! ! ! ! $67,037! $68,129! $225,763! $225,651! $497,458! $502,184! 2008( ! ! ! ! ! $66,117! $65,898! $223,205! $224,164! $472,551! $475,864! 2007( ! ! ! ! ! $66,880! $66,943! $211,281! $212,338! $452,916! $455,586! 2006( ! ! ! ! 2005( $784,226! $793,571! ! $1,917,303! $1,928,496! $257,340! $258,599! $1,844,628! $1,872,414! $263,388! $266,673! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph :FARE Department P a g e A| 2 Table A3. Cash & Accrual - EBIT for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Sales(Classes( >!$0!&<!$100,000! Cash! Accrual! >!$100,000!&<!$300,000! Cash! Accrual! >!$300,000!&<!$500,000! Cash! Accrual! >!$500,000!&<!$1,000,000! Cash! Accrual! >!$1,000,000! Cash! Accrual! Total!Average!Cash! Total!Average!Accrual! 2003( ( $1,572! $4,161! ! $25,371! $24,042! ! $56,871! $58,500! ! $92,211! $94,078! ! $225,318! $248,759! $16,333! $18,084! 2004( ( L$4,647! L$2,497! ! $16,180! $11,100! ! $33,931! $30,714! ! $63,467! $49,933! ! $183,202! $152,964! $7,157! $6,308! 2005( 2006( 2007( 2008( ( ( ( ( L$4,935! L$3,798! L$1,110! $1,772! L$999! $1,486! $2,571! $7,101! ! ! ! ! $7,942! $4,990! $20,483! $32,675! $14,523! $20,251! $28,639! $42,015! ! ! ! ! $18,497! $21,269! $48,238! $80,904! $32,680! $47,734! $56,567! $101,355! ! ! ! ! $43,468! $41,038! $90,109! $112,658! $67,821! $100,768! $120,258! $146,376! ! ! ! ! $91,125! $96,774! $186,224! $267,816! $80,793! $210,488! $201,527! $339,972! $1,741! $2,416! $16,795! $33,677! $7,327! $14,422! $23,606! $45,470! 2009( ( $27! $2,555! ! $26,713! $23,907! ! $69,445! $58,859! ! $136,668! $112,191! ! $277,682! $247,596! $33,876! $30,576! 2010( ( $4,331! $10,901! ! $29,274! $42,886! ! $71,013! $101,621! ! $122,985! $186,761! ! $277,557! $396,310! $37,371! $56,767! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph :FARE Department P a g e A| 3 Table A4. Cash & Accrual - Operating Profit Margin for Ontario Field Crop Sector by Sales Classes (2003-2010) Sales(Classes( >!$0!&<!$100,000! Cash! Accrual! >!$100,000!&<!$300,000! Cash! Accrual! >!$300,000!&<!$500,000! Cash! Accrual! >!$500,000!&<!$1,000,000! Cash! Accrual! >!$1,000,000! Cash! Accrual! Total!Average!Cash! Total!Average!Accrual! 2003( ! L540%! L545%! ! 15%! 12%! ! 15%! 13%! ! 14%! 12%! ! 15%! 15%! L342%! L346%! 2004( ! L575%! L561%! ! 9%! 2%! ! 9%! 5%! ! 10%! 5%! ! 13%! 9%! L373%! L365%! 2005( ! L496%! L476%! ! 4%! 5%! ! 5%! 7%! ! 6%! 7%! ! 7%! 4%! L331%! L317%! 2006( ! L470%! L481%! ! 3%! 7%! ! 6%! 11%! ! 6%! 10%! ! 5%! 11%! L306%! L312%! 2007( ! L412%! L404%! ! 12%! L10%! ! 12%! 12%! ! 14%! 16%! ! 12%! 12%! L233%! L234%! 2008( ! L295%! L280%! ! 18%! 20%! ! 21%! 23%! ! 16%! 18%! ! 18%! 20%! L140%! L132%! 2009( ! L347%! L166%! ! 15%! 10%! ! 18%! 13%! ! 20%! 18%! ! 18%! 13%! L168%! L78%! 2010( ! L10%! 3%! ! 16%! 25%! ! 19%! 21%! ! 18%! 22%! ! 17%! 21%! 4%! 14%! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph :FARE Department P a g e A| 4 Table A5. Cash & Accrual - Operating Expense Ratio for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Sales(Classes( >!$0!&<!$100,000! Cash! Accrual! >!$100,000!&<!$300,000! Cash! Accrual! >!$300,000!&<!$500,000! Cash! Accrual! >!$500,000!&<!$1,000,000! Cash! Accrual! >!$1,000,000! Cash! Accrual! Total!Average!Cash! Total!Average!Accrual! 2003( ! 63%! 62%! ! 47%! 49%! ! 47%! 48%! ! 45%! 47%! ! 46%! 46%! 57%! 57%! 2004( ! 83%! 67%! ! 51%! 54%! ! 50%! 54%! ! 48%! 51%! ! 47%! 50%! 72%! 62%! 2005( ! 78%! 66%! ! 56%! 55%! ! 55%! 55%! ! 52%! 51%! ! 52%! 53%! 70%! 62%! 2006( ! 75%! 61%! ! 56%! 53%! ! 55%! 51%! ! 53%! 49%! ! 53%! 50%! 68%! 58%! 2007( ! 71%! 63%! ! 53%! 65%! ! 52%! 53%! ! 51%! 51%! ! 51%! 52%! 63%! 62%! 2008( ! 63%! 53%! ! 49%! 48%! ! 49%! 48%! ! 50%! 50%! ! 49%! 48%! 56%! 50%! 2009( ! 67%! 55%! ! 51%! 54%! ! 48%! 52%! ! 48%! 49%! ! 47%! 51%! 58%! 54%! 2010( ! 56%! 49%! ! 48%! 49%! ! 48%! 47%! ! 48%! 46%! ! 46%! 45%! 52%! 48%! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph :FARE Department P a g e A| 5 Table A6. Cash - Average Estimated Debt for Ontario Field Crop Sector by Income Range (2003-2010) Sales(Classes( >!$0!&<!$100,000! >!$100,000!&<!$300,000! >!$300,000!&<!$500,000! >!$500,000!&<!$1,000,000! >!$1,000,000! Total!Average! 2003( $113,380! $261,362! $486,787! $757,569! $1,478,084! $225,861! 2004( $127,769! $299,341! $562,297! $921,028! $1,755,509! $259,870! 2005( $118,534! $295,248! $549,140! $850,548! $1,912,893! $241,818! 2006( $102,128! $243,320! $489,282! $793,285! $1,670,296! $217,841! 2007( $95,663! $223,913! $430,949! $689,852! $1,593,458! $236,259! 2008( $106,880! $236,151! $446,049! $733,801! $1,625,463! $289,537! 2009( $156,693! $351,447! $650,931! $1,049,336! $2,132,981! $430,473! 2010( $136,366! $308,780! $599,601! $944,332! $2,039,544! $399,529! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table A7. Cash -Debt Coverage Ratio for Ontario Field Crop Sector by Sales Classes (2003-2010) Sales(Classes( >!$0!&<!$100,000! >!$100,000!&<!$300,000! >!$300,000!&<!$500,000! >!$500,000!&<!$1,000,000! >!$1,000,000! Total!Average! 2003( 19! 62! 88! 172! 44! 43! 2004( 18! 60! 76! 192! 93! 42! 2005( 5! 37! 60! 31! 11! 18! 2006( 1! 29! 48! 42! 46! 14! 2007( 3! 111! 91! 64! 163! 52! 2008( 40! 102! 174! 199! 89! 89! 2009( 9! 130! 111! 115! 74! 71! 2010( 55! 97! 81! 118! 155! 82! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph :FARE Department P a g e A| 6 Appendix(B:!Results!from!Ontario!Farm!Income!Database,!Tables!by!Profitability!Quintile! able 5. Total Farm Numbers and Percentages for Ontario Field Crop Sector by Income Range and Profitability Quintile (2003-2010) Sales(Classes( >!$0!&<!$100,000! 2003( !! 2004( !! !! 2005( !! !! 2006( !! !! 2007( !! !! 2008( !! !! 2009( !! !! 2010( !! !! !! Top!20%!! 372,! 77%! 285,! 76%! 277,! 81%! 261,! 80%! 236,! 73%! 209,! 65%! 197,! 59%! 204,! 58%! Bottom!20%! 468,! 96%! 325,! 97%! 313,! 98%! 289,! 98%! 308,! 96%! 335,! 92%! 331,! 89%! 354,! 86%! >!$100,000!&<!$300,000! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! Top!20%!! 93,! 19%! 74,! 20%! 50,! 15%! 49,! 15%! 66,! 20%! 73,! 23%! 96,! 29%! 99,! 28%! Bottom!20%! 15,! 3%! 8,! 2%! 4,! 1%! 4,! 1%! 11,! 3%! 24,! 7%! 34,! 9%! 49,! 12%! >!$300,000!&<!$500,000! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! Top!20%!! 9,! 2%! 7,! 2%! 8,! 2%! 9,! 3%! 10,! 3%! 21,! 7%! 16,! 5%! 28,! 8%! Bottom!20%! 3,! 1%! 1,! 0%! 1,! 0%! 2,! 1%! 2,! 1%! 5,! 1%! 5,! 1%! 5,! 1%! >!$500,000!&<!$1,000,000! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! Top!20%!! 7,! 1%! 5,! 1%! 4,! 1%! 6,! 2%! 10,! 3%! 10,! 3%! 16,! 5%! 15,! 4%! Bottom!20%! 1,! 0%! 2,! 1%! 0,! 0%! 0,! 0%! 1,! 0%! 2,! 1%! 1,! 0%! 2,! 0%! >!$1,000,000! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! !! Top!20%! 2,! 0%! 3,! 1%! 1,! 0%! 3,! 1%! 3,! 1%! 8,! 2%! 10,! 3%! 6,! 2%! Bottom!20%! 0,! 0%! 0,! 0%! 0,! 0%! 0,! 0%! 0,! 0%! 0,! 0%! 2,! 1%! 1,! 0%! Total!Farms! 8738! 8305! 8719! 8445! 8374! 8269! 7946! 7295! Source: Calculations using the Ontario Farm Income Database, OMAFRA University of Guelph:Department of FARE P a g e B| 1 Table B1. Cash & Accrual -Total Operating Revenue for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Quintile! Top!20!%!L!Cash! Top!20!%!LAccrual! Bottom!20%!LCash! Bottom!20%!LAccrual! Total!Average!L!Cash! Total!Average!L!Accrual! 2003! $81,740! $87,127! $27,939! $30,238! $131,886! $134,672! 2004! $83,551! $85,472! $24,983! $27,909! $131,972! $132,533! 2005! $77,796! $80,849! $18,500! $20,802! $123,320! $129,603! 2006! $90,777! $96,043! $22,619! $24,277! $130,885! $142,606! 2007! $111,485! $119,306! $32,454! $32,188! $168,311! $179,159! 2008! $138,997! $138,596! $45,045! $42,749! $206,764! $222,137! 2009! $168,661! $155,531! $56,705! $53,178! $220,318! $218,307! 2010! $159,861! $190,311! $61,118! $61,863! $227,308! $250,185! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B2. Cash & Accrual -Total Operating Expense for Ontario Field Crop Sector by Profitability Quintile (20032010) Quintile! Top!20!%!LCash! Top!20!%!LAccrual! Bottom!20%!LCash! Bottom!20%!LAccrual! Total!Average!L!Cash! Total!Average!L!Accrual! 2003! $110,923! $123,306! $66,975! $65,033! $158,689! $159,722! 2004! $138,712! $148,732! $71,339! $69,389! $172,539! $173,921! 2005! $143,421! $165,093! $57,282! $56,001! $174,648! $175,305! 2006! $152,552! $177,841! $70,578! $62,790! $183,147! $182,862! 2007! $176,137! $204,286! $86,221! $80,929! $211,762! $215,893! 2008! $199,570! $239,267! $97,654! $87,007! $239,200! $242,675! 2009! $231,237! $274,404! $121,813! $114,607! $257,340! $258,599! 2010! $232,660! $287,734! $116,744! $122,273! $263,388! $266,673! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B3. Cash & Accrual - EBIT for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Quintile! Top!20!%!LCash! 2003! $59,920! 2004! $61,384! 2005! $59,294! University of Guelph:Department of FARE 2006! $63,798! 2007! $81,511! 2008! 2009! 2010! $106,405! $118,060! $116,643! P a g e B| 2 Top!20!%!LAccrual! Bottom!20%!LCash! Bottom!20%!LAccrual! Total!Average!L!Cash! Total!Average!L!Accrual! $67,508! L$25,721! L$25,063! $16,333! $18,084! $67,246! $67,331! $73,962! $93,020! $108,498! $118,577! $145,909! L$34,155! L$28,757! L$32,463! L$36,595! L$36,496! L$45,969! L$36,513! L$30,770! L$25,839! L$27,455! L$33,991! L$30,113! L$46,262! L$39,447! $7,157! $1,741! $2,416! $16,795! $33,677! $33,876! $37,371! $6,308! $7,327! $14,422! $23,606! $45,470! $30,576! $56,767! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B4. Cash & Accrual - Operating Profit Margin for Ontario Field Crop Sector by Profitability Quintile (20032010) Quintile! Top!20!%!LCash! Top!20!%!LAccrual! Bottom!20%!LCash! Bottom!20%!LAccrual! Total!Average!L!Cash! Total!Average!L!Accrual! 2003! 158%! 201%! L6180%! L6723%! L342%! L346%! 2004! 134%! 151%! L8273%! L9015%! L373%! L365%! 2005! 127%! 140%! L8601%! L8886%! L331%! L317%! 2006! 139%! 161%! L8323%! L8757%! L306%! L312%! 2007! 184%! 205%! L6182%! L6060%! L233%! L234%! 2008! 144%! 130%! L3389%! L3414%! L140%! L132%! 2009! 125%! 150%! L1733%! L1789%! L168%! L78%! 2010! 183%! 262%! L253%! L302%! 4%! 14%! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B5. Cash & Accrual - Operating Expense Ratio for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Quintile! 2003! 2004! University of Guelph:Department of FARE 2005! 2006! 2007! 2008! 2009! 2010! P a g e B| 3 Top!20!%!LCash! Top!20!%!LAccrual! Bottom!20%!LCash! Bottom!20%!LAccrual! Total!Average!L!Cash! Total!Average!L!Accrual! 46%! 13%! 118%! 103%! 57%! 57%! 51%! 45%! 253%! 152%! 72%! 62%! 57%! 32%! 205%! 125%! 70%! 62%! 51%! 36%! 145%! 162%! 68%! 58%! 57%! 46%! 140%! 121%! 63%! 62%! 60%! 47%! 95%! 87%! 56%! 50%! 43%! 33%! 119%! 112%! 58%! 54%! 44%! 43%! 91%! 108%! 52%! 48%! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B6. Cash - Estimated Debt for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Quintile! Top!20!%!LCash! Bottom!20%!LCash! Total!Average!L!Cash! 2003! $284,868! $116,600! $225,861! 2004! 2005! 2006! 2007! 2008! 2009! 2010! $305,158! $295,212! $240,954! $266,575! $271,011! $486,218! $405,566! $104,987! $80,456! $67,162! $88,072! $134,216! $238,613! $189,164! $259,870! $241,818! $217,841! $236,259! $289,537! $430,473! $399,529! Source: Calculations using the Ontario Farm Income Database, OMAFRA Table B7. Cash - Debt Coverage Ratio for Ontario Field Crop Sector by Profitability Quintile (2003-2010) Quintile! Top!20!%!LCash! 2003! 214! 2004! 349! University of Guelph:Department of FARE 2005! 355! 2006! 396! 2007! 304! 2008! 471! 2009! 359! 2010! 327! P a g e B| 4 Bottom!20%!LCash! Total!Average!L!Cash! L55! 43! L61! 42! L111! 18! L73! 14! L134! 52! L99! 89! L145! 71! L111! 82! Source: Calculations using the Ontario Farm Income Database, OMAFRA ( ( ( University of Guelph:Department of FARE P a g e B| 5
© Copyright 2026 Paperzz