LenderAnalyzer is the document-analysis layer for ag lenders. Upload a farm borrower's Schedule F tax returns, bank statements and balance sheet, and get the seasonal cash flow, repayment capacity, working capital and existing debt service computed and traceable, so a farm loan officer reviews the numbers instead of keying them into a spreadsheet. Self-serve from $99 a month.
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Ag lending is document-heavy in a way that consumer and even commercial lending is not. A farm file lands with several years of tax returns carrying a Schedule F, a farm balance sheet listing land, machinery, breeding livestock, growing crops and stored grain, bank statements covering a season that produces almost no revenue for nine months and then all of it in six weeks, and often an FSA guarantee application on top. The loan officer is expected to build a cash flow projection, test repayment capacity, calculate working capital and the current ratio, and document all of it, and most of that time goes into re-typing figures from PDFs into a spreadsheet before any analysis begins. Agricultural lending software automates the reading and the arithmetic. LenderAnalyzer extracts the farm borrower's tax returns, including the Schedule F that reports farm income and expenses, the bank statements that show what actually cleared the account, and the financial statements behind the balance sheet, then computes what an ag credit analysis rests on: income net of the non-cash items and one-time sales that distort a farm return, the depreciation and interest add-backs that turn a paper loss into real repayment capacity, the debt service the operation is already carrying across operating lines and equipment notes, working capital, and the seasonal pattern of deposits that tells you whether an operating line will actually clean up. Every figure links back to the line on the return or the deposit on the statement it came from, which is what a credit file and an examiner both want to see. To be honest about scope: LenderAnalyzer is not a farm loan origination system. It does not run the FSA guarantee application workflow, hold your loan policy, produce your projected cash flow budget for you or issue the credit decision. Those stay with your team and your core system. What it replaces is the manual document handling underneath the credit memo, which is where ag loan officers lose their week. It runs self-serve from $99 a month, which is why community banks, farm credit associations and rural lenders use it without an enterprise platform contract.
Ag credit follows the same fundamentals as commercial credit, but seasonality, non-cash accounting and collateral that grows in a field change how the numbers behave. Here is what analysts actually compute and where automation helps.
Schedule F is written to minimize taxable income, and it does that job well. Accelerated depreciation on machinery, prepaid expenses bought in December to shift a deduction, and inventory timing can put a profitable operation into a paper loss. An ag lender who reads the bottom line and stops there will decline a farm that services debt comfortably. The analysis that matters starts from net farm profit and adds back depreciation and the interest already being paid, then adjusts for the inventory and prepaid swings and for capital gains from selling machinery or breeding stock, which are real cash but not repeatable income. What comes out is cash available for debt service, which is the number the loan is actually underwritten on.
A row crop operation spends money from spring through summer and gets paid in the fall. Judged on any single quarter, the account looks alarming. The pattern to look for across the bank statements is whether the operating line draws down through the growing season and then cleans up after harvest, because a line that never returns to zero across a full cycle is funding losses rather than the crop. Reading a full twelve or twenty-four months of statements makes that visible: the timing and size of the harvest deposits, whether they are large enough to retire the season's borrowing, and whether the operation is quietly carrying last year's balance into this one. That is a judgment call, but it depends on the transactions being complete and correctly totaled first.
Farm credit analysis leans on working capital, the current ratio, the debt-to-asset ratio and a repayment capacity measure such as the term debt coverage ratio, which tests cash available for debt service against scheduled principal and interest on term debt. The OCC's guidance for agricultural lending expects underwriting to start from current, accurate financial information and a credible cash flow projection rather than from collateral value, which is exactly the trap in ag lending: land appreciates, so a file can look secured while the operation cannot cover its payments. Computing the coverage ratio from documents that reconcile against each other is the point of the exercise, and it is where hand-keyed spreadsheets introduce errors nobody catches.
Many farm loans in the United States are made by a commercial lender with a Farm Service Agency guarantee behind them. FSA can guarantee up to 95 percent of principal and interest against loss, on loans up to $2,343,000 as of 2026, with an EZ Guarantee path for smaller requests up to $100,000 aimed at small, beginning and underserved producers. The guarantee reduces the lender's exposure; it does not do the credit work. The lender still has to demonstrate repayment ability from the borrower's own financial information, and the application package is built from the same returns, statements and balance sheet. Getting that package assembled and internally consistent is faster when the documents are read and reconciled automatically.
How rural banks, farm credit associations and ag lenders turn a farm file into a credit decision. Last updated July 2026; enterprise pricing is quote-based, so confirm current figures with each vendor.
| Approach | Best for | What it does with the documents | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Community and rural banks, farm credit lenders and ag loan officers who want the document work automated | Reads Schedule F returns, farm bank statements and financial statements, computes cash flow, add-backs, existing debt service and working capital, traceable to the source | Yes, free live trial, no sales call | Transparent, $99 to $399/mo |
| Enterprise ag credit platforms | Larger institutions replacing the whole origination stack | Full origination, spreading, risk rating and portfolio management, with ag-specific templates | No, demo and implementation project | Quote-based, often a multi-year contract |
| Spreadsheet templates | Small ag portfolios and single loan officers | Nothing automatic: the officer keys every figure from the PDFs by hand | Not applicable | Free, but hours per file and prone to keying errors |
| PDF-to-Excel converters | Teams that just want the transactions out of the statement | Raw transactions only; the add-backs, ratios and coverage math stay manual | Yes | Low, but no credit analysis |
Comparison compiled by LenderAnalyzer from public vendor materials, June 2026. Competitor names are trademarks of their respective owners; figures may change, so verify current details with each vendor.
Computed deterministically from every extracted transaction, every figure traceable to its source line.
Computed across the full statement period, carried forward day by day.
Deposits vs withdrawals and net flow, broken down month by month.
Every insufficient-funds and overdraft incident counted, with fees totaled.
Recurring deposits grouped into income streams with estimated monthly amounts.
Debits to other lenders and funders detected and totaled per month.
Days below zero across the period, a direct stress signal.
The biggest credits with dates and sources, concentration flagged.
Automatic red and yellow flags your analysts can review in seconds.
Drop in PDFs, scans or photos, one statement or a multi-month package, from any bank.
Every transaction is extracted, then cash flow, balances, income streams, NSF activity and debt payments are computed.
Read the underwriting snapshot, download the Excel report, or pull structured JSON into your LOS via API.
28 lending document types extracted out of the box, build the complete picture of an applicant's financial situation.
Common questions from lending and credit teams.
Agricultural lending software helps a lender underwrite farm loans by reading the borrower's financial documents and computing what a credit decision rests on. LenderAnalyzer extracts Schedule F tax returns, farm bank statements and financial statements, then returns cash flow after add-backs, existing debt service, working capital and the seasonal deposit pattern, with every figure traceable to the document behind it, so the loan officer analyzes rather than re-types.
Banks start from the farm's financial information rather than its collateral. They rebuild cash flow from the tax returns, adding back depreciation and interest and adjusting for inventory, prepaid expenses and one-time asset sales, then test that cash against the operation's scheduled debt payments. They check working capital and the current ratio from the balance sheet, review bank statements for the seasonal borrow-and-repay cycle, and confirm the operating line cleans up after harvest.
Because Schedule F is prepared to minimize tax. Accelerated depreciation on machinery, prepaid inputs purchased before year end and inventory timing can push a farm that generates real cash into a reported loss. That is why ag lenders never underwrite off net farm profit alone. They add depreciation and interest back, adjust for the timing items, and separate one-time gains from selling equipment or breeding livestock, which are cash but not repeatable income.
It measures whether the operation generates enough cash to cover scheduled principal and interest on its term debt. The analyst takes cash available for debt service, built from farm income plus depreciation and interest add-backs and any reliable off-farm income, and divides it by the scheduled term debt payments. A ratio comfortably above 1.0 means the farm covers its payments with room for a bad year, which is the whole point in an industry with weather and price risk.
The Farm Service Agency can guarantee up to 95 percent of principal and interest against loss on farm loans made by an approved commercial lender, on loans up to $2,343,000 as of 2026, a limit adjusted annually for inflation. An EZ Guarantee path handles smaller requests up to $100,000 for small, beginning and underserved producers. The guarantee reduces the lender's loss exposure but does not replace the credit analysis or the repayment-ability test.
Yes. LenderAnalyzer reads the tax return as filed, including the Schedule F that reports farm income and expenses, and pulls the line items an ag analyst needs: gross farm income, the expense detail, depreciation, interest paid and the net figure. It carries those into the cash flow analysis with the add-backs applied, and keeps the link back to the line on the return, so the number in your credit memo can be traced in an audit or an examination.
No, and it is worth being clear about that. LenderAnalyzer is the document-analysis and cash flow layer. It does not run the FSA guarantee application workflow, hold your loan policy, build your projected cash flow budget or issue the approval. Those stay with your loan officers and your core system. What it removes is the manual reading, keying and reconciling of the returns, statements and financials the credit memo is built from.
Enterprise ag credit platforms are quote-based and usually sold as a multi-year contract with an implementation project, which is why smaller rural banks and farm credit offices often stay on spreadsheets. LenderAnalyzer is self-serve and published at $99 to $399 a month, with about 50 percent off annual billing, so an ag lender can automate the document analysis on farm files without a platform contract or a procurement cycle.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
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