LenderAnalyzer does the financial statement analysis behind a credit decision. Upload a borrower's income statement, balance sheet, tax returns and bank statements and get standardized spreads, the liquidity, leverage, coverage and profitability ratios, and a year-over-year trend view, with every number traceable to the source line it came from. Self-serve from $99 a month, a faster way to analyze borrower financials than keying them into a spreadsheet and building the ratio formulas by hand.
Upload a document to extract
Drop files here or click to upload
Up to 50 files
Uploading...
Upload a bank statement and watch the analysis run live, free, no signup required.
Financial statement analysis is the work of turning a borrower's raw financial statements into a judgment about whether the business can service debt. A lender takes the income statement, balance sheet and cash flow statement, standardizes them so periods and companies compare cleanly, then reads three things: how the numbers move over time, how each line sits as a share of the whole, and what the ratios say about liquidity, leverage, coverage and profitability. Analysts do this by hand on a spreadsheet, and it is slow: keying every line item off a PDF or a tax return, building the ratio formulas, and lining up two or three years to spot a trend takes the better part of an hour per borrower, and a transposed figure quietly changes the answer. Financial statement analysis software automates the mechanical part. LenderAnalyzer reads the statements and returns already in the file, extracts every line item, standardizes them into a spread, and computes the ratios and multi-year comparison the credit write-up needs, with each value linked back to the source page so the analyst validates the analysis instead of building it. Three terms get used for overlapping work, and it helps to keep them straight. Spreading is the data step, getting the borrower's numbers into a standard template, and it is covered on our financial spreading software page. Credit analysis is the whole decision, the five Cs, the risk rating and the recommendation, covered on our credit analysis software page. Financial statement analysis is the layer in between: what the standardized numbers actually say about the borrower's financial condition and repayment capacity. When you evaluate tools, weigh how many document types they read, whether they only extract data or also compute the ratios and trend analysis, how the output reaches your LOS or credit memo, and whether pricing is self-serve or enterprise quote-only. LenderAnalyzer handles the extraction, spreading and ratio layer across commercial, small-business and MCA lending, self-serve from $99 a month.
Buyers of financial statement analysis tools are usually trying to get through borrower financials faster without losing the rigor examiners expect. Here is how the analysis actually works and where automation helps.
Lenders lean on three techniques. Horizontal analysis, also called trend analysis, lines the same figures up across two or three years to see whether revenue, margins and cash flow are rising or slipping. Vertical analysis, or common-size analysis, restates each line as a percentage of a base, revenue on the income statement and total assets on the balance sheet, so a small borrower compares cleanly to a large one. Ratio analysis turns the statements into liquidity, leverage, coverage and profitability ratios. Software runs all three off one extraction pass instead of three separate spreadsheet builds.
The core lending ratios fall into four groups: liquidity (current ratio, quick ratio), leverage or solvency (debt-to-equity, debt-to-worth), coverage (debt service coverage ratio, times interest earned), and profitability (net profit margin, return on assets). A DSCR at or above 1.25x, a current ratio in the 1.5 to 2.0 range and debt-to-worth under about 3 to 4 to 1 are common comfort zones, though the right benchmark depends on the industry. LenderAnalyzer computes these automatically from the spread so the analyst reviews the ratios rather than building the formulas.
These three overlap and are worth separating. Spreading is getting the borrower's numbers into a standard template. Credit analysis is the full decision, weighing the five Cs, assigning a risk rating and making a recommendation. Financial statement analysis is the middle layer, reading what the standardized numbers say about financial condition and repayment capacity through ratios and trends. LenderAnalyzer covers the spreading and the analysis, and the credit judgment and the rating stay with your team.
A ratio only means something next to a benchmark. A 1.4x current ratio looks thin for a manufacturer and healthy for a fast-turning distributor, so lenders compare a borrower's ratios to industry norms, most often the RMA Annual Statement Studies, which report ratio ranges by industry and company size. Automating the extraction and ratio math leaves the analyst more time for the part that needs judgment: deciding whether the borrower's numbers are strong or weak for its industry and structure.
Ways lending teams turn borrower financials into ratios and a credit view, and where a self-serve analysis layer fits next to a full credit platform. Last updated July 2026; the enterprise platforms are quote-based, so confirm current pricing with each vendor.
| Approach | Best for | What it produces | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Commercial, small-business and MCA lenders that want fast, self-serve financial statement analysis without a platform rollout | Extracts income statements, balance sheets, tax returns and bank statements into a standardized spread, ratios and a multi-year trend view, every figure traceable to source | Yes, free live trial, no sales call | Transparent, $99 to $399/mo |
| Moody's CreditLens (with QUIQspread) | Banks wanting enterprise spreading and analysis tied to proprietary risk models | AI-assisted spreading, ratio analysis and validation feeding Moody's PD and LGD models across the portfolio | No, sales demo first | Quote-based enterprise |
| Abrigo (roots in Sageworks) | Community and regional banks and credit unions wanting spreading and credit analysis in one platform | Financial statement spreading, ratio analysis and a credit risk workflow built for smaller institutions | No, sales demo first | Quote-based enterprise |
| Baker Hill NextGen | Institutions wanting financial analysis inside a broader commercial lending system | Spreading and credit analysis within loan origination, relationship management and portfolio risk | No, sales demo first | Quote-based enterprise |
| Manual spreadsheet + RMA benchmarks | Small portfolios and low file volume | Whatever the analyst keys and calculates by hand, compared against RMA Annual Statement Studies | Not applicable | Analyst time, an hour or more per borrower |
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.
Financial statement analysis software reads a borrower's income statement, balance sheet, cash flow statement and tax returns, standardizes them into a spread, and computes the ratios and trend comparison a lender needs to judge repayment capacity. It replaces manual keying and formula-building in a spreadsheet, cutting an hour of work per borrower to a few minutes while keeping every figure traceable to its source line.
The three types are horizontal, vertical and ratio analysis. Horizontal analysis, also called trend analysis, compares the same figures across multiple periods to show whether performance is improving or deteriorating. Vertical analysis, or common-size analysis, states each line as a percentage of a base such as revenue or total assets. Ratio analysis converts the statements into liquidity, leverage, coverage and profitability ratios.
Lenders standardize the borrower's statements so periods and companies compare cleanly, then read three things: how the numbers trend over two or three years, how each line sits as a share of the whole, and what the ratios say about liquidity, leverage, coverage and profitability. They finish by comparing those ratios to industry benchmarks to decide whether the business can service the requested debt.
Lenders focus on four groups: liquidity ratios like the current and quick ratio, leverage ratios like debt-to-equity and debt-to-worth, coverage ratios led by the debt service coverage ratio and times interest earned, and profitability ratios like net margin and return on assets. A DSCR at or above 1.25x and a current ratio between 1.5 and 2.0 are common comfort zones, though the right benchmark varies by industry.
A common-size financial statement restates each line item as a percentage of a base figure, revenue for the income statement and total assets for the balance sheet, so statements of different sizes and periods compare on the same scale. It is the output of vertical analysis, and it lets a lender see, for example, that cost of goods sold is creeping up as a share of revenue even as dollar revenue grows.
For a business borrower, lenders typically ask for the income statement, balance sheet and, where available, the cash flow statement, usually two to three years, plus the business and personal tax returns and recent bank statements. Together these let the analyst reconcile reported profit to actual cash flow, confirm the numbers, and calculate the ratios behind the credit decision.
The mechanical part can. AI reads the statements and returns, extracts every line item, standardizes them into a spread and computes the ratios and multi-year trend automatically, with the analyst validating rather than retyping. The judgment, deciding whether the numbers are strong for the borrower's industry and structure and what rating to assign, stays with your team, but automating extraction and ratio math removes the slow, error-prone part of every file.
It depends on the model. Enterprise credit platforms that include spreading and analysis, such as Moody's CreditLens, Abrigo and Baker Hill, are quote-based with no public pricing, and cost scales with institution size. LenderAnalyzer is self-serve and transparent at $99 to $399 a month with about 50% off annual billing, so a smaller lender can start analyzing borrower financials the same day without a contract or a sales call.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
From the same family of tools
