LenderAnalyzer is the analysis layer behind revenue based financing. Upload a prospect's business bank statements and get true monthly revenue net of transfers, month-by-month consistency, average daily balance, NSF and negative days, and every existing advance or loan payment already hitting the account. That is what sizes a revenue share and a payback cap you can actually collect. Self-serve from $99 a month.
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Revenue based financing is underwritten on one number: how much money the business really collects each month, and how reliably. Everything else in the structure falls out of it. The revenue share percentage has to be small enough that the business survives it and large enough to retire the advance inside the term. The payback cap has to price the risk you are taking on revenue that has not happened yet. And the funding amount has to sit inside what the account can actually carry after the obligations already draining it. So the whole credit decision rests on the quality of the revenue figure, which is exactly where most RBF underwriting goes wrong. Total deposits are not revenue. A business bank account is full of credits that are not sales: transfers between the owner's own accounts, proceeds from an earlier advance, a tax refund, an owner capital contribution, a chargeback reversal, a loan from a family member. Sum the credits column and you can overstate collections by 20 or 30 percent, then advance against money that was never earned. LenderAnalyzer reads three to twelve months of business bank statements and computes true revenue with those credits identified and stripped out, month by month, so you can see the trend and the volatility rather than a single flattering average. It counts NSF items and negative days, which is the clearest early signal that a business is already living at the edge of its float. It computes average daily balance, which tells you what a daily or weekly remittance would actually feel like inside the account. And it detects recurring debt payments and existing advance remittances grouped by funder, so stacking shows up before you fund rather than after the first missed payment. Every figure links back to the transactions that produced it, so an underwriter reviews rather than re-keys, and a credit file can be defended later. To be clear about scope: LenderAnalyzer is not an RBF origination platform. It does not generate contracts, run ACH remittances, manage collections, or price a deal for you. It is the document analysis that feeds those decisions, self-serve from $99 a month, which is why funders, working capital lenders and fintech underwriting teams use it on live submissions without a platform contract.
RBF looks simple from the outside: take a percentage of revenue until the cap is repaid. The underwriting is anything but simple, because the revenue figure, the consistency behind it, and the obligations already competing for it all have to come out of the same bank statements.
The first job in RBF underwriting is separating sales from every other credit that lands in a business bank account. Internal transfers between the operating and savings accounts double-count. Proceeds from a prior advance look like a very good month. Owner contributions, refunds, reversed chargebacks, insurance payouts and one-time asset sales all inflate the total. Fund against that number and the revenue share you set will take a bigger real bite than the model assumed, which is how a merchant that looked comfortable starts missing remittances in month two. Netting those credits by hand across six months of statements takes an underwriter hours. Automating it turns the true revenue figure into something you compute on every file instead of something you only check when a deal feels wrong.
Two businesses can both average $80,000 a month and be completely different credits. One collects between $74,000 and $86,000 every month. The other collects $200,000 in two seasonal months and under $30,000 the rest of the year. A revenue share sized on the average will strangle the second business in its low months, and RBF is supposed to flex with revenue precisely so that does not happen. Look at the month-by-month series, the spread between the best and worst month, and whether the trend is rising or quietly decaying. A declining trend over the last three months is the single most common thing funders miss when they look only at a twelve month total, and it is the thing that most reliably predicts a default on a facility that has not even funded yet.
Before you decide what percentage of revenue you can take, you need to know what is already being taken. Bank statements show it: existing advance remittances arriving daily or weekly under a funder's ACH descriptor, equipment lease payments, a bank term loan, a line of credit sweep, a factoring reserve. Stacked positions are the defining risk in this market because each new funder is collecting from the same deposit stream, and the merchant rarely volunteers the full list. Grouping recurring debits by counterparty and frequency exposes the stack in minutes. If three funders are already pulling from the account, the remaining capacity is not what a summary page suggests, and the honest answer is often a smaller advance or no advance.
The last step is a capacity test, not a formula. Take true monthly revenue, subtract the existing debt service and remittances you found, and look at average daily balance and negative days to see how much cushion the account actually holds. A revenue share is usually quoted as a percentage of monthly collections, commonly in the low single digits to around ten percent on small-business deals, and the payback cap is the multiple the funder collects in total. Those numbers vary widely by segment and by funder, so the point is not the range, it is whether this specific account can absorb this specific bite for the length of the term without going negative. Run the remittance against the actual month-by-month series, including the worst month, and you will price deals that survive.
The four ways an RBF or working capital funder gets to a revenue figure, and what each one costs. Last updated July 2026; revenue share and cap ranges vary widely by funder and segment, so confirm current terms with each provider rather than relying on a published range.
| Approach | What it gives you | Turnaround | Typical cost |
|---|---|---|---|
| LenderAnalyzer This page | True revenue net of transfers month by month, consistency and trend, ADB, NSF and negative days, existing advances and stacking, all traceable to the transactions | Minutes per submission, self-serve | Transparent, $99 to $399/mo |
| Open banking connection | A verified live feed of transactions when the borrower connects their bank, with balances and categorized cash flow | Instant, when the borrower connects | Quote-based, and it fails when the merchant will not connect or runs several accounts |
| Payment processor statements | Card volume only, which misses ACH, check, invoice and cash revenue on most non-retail businesses | Immediate | Free, and it undercounts revenue for anyone who is not a merchant retailer |
| Manual spreadsheet review | Whatever the underwriter has time to tally from the PDF statements before the deal goes stale | Hours per file, and it is inconsistent between underwriters | Free, but slow, and transfers get counted as revenue |
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.
Revenue based financing is business funding repaid as a percentage of the company's monthly revenue rather than as a fixed installment. The funder advances capital, then collects an agreed share of collections until a total payback cap is reached. Payments flex with the business, so a slow month costs less than a strong one. It is used by working capital funders, fintech lenders and specialty SaaS funders, and it is underwritten primarily on the revenue that shows up in the business bank account.
On the bank statements. The funder computes true monthly revenue net of transfers, prior advances, owner contributions and refunds, then tests how consistent that revenue is month to month and whether the trend is rising or falling. It counts NSF items and negative days for account health, checks average daily balance for cushion, and identifies existing advances and loan payments already draining the account. The revenue share and the funding amount are sized against what is left.
The repayment mechanics. A merchant cash advance buys future receivables and is typically repaid through a fixed daily or weekly ACH remittance, priced as a factor rate. Revenue based financing takes a percentage of actual monthly revenue, so the payment falls when sales fall and the term stretches. In practice the underwriting overlaps heavily: both are decided on bank statement revenue, deposit consistency, NSF activity and stacked positions, which is why funders often analyze both product types with the same tooling.
Most funders work from three to twelve months, and twelve is better than three whenever the business has any seasonality. Three months tells you the current run rate and nothing about the low season. Twelve months lets you see the full revenue cycle, the worst month, and whether the recent trend is decaying. Where a business has been operating under a year, funders lean harder on account health signals: NSF frequency, negative days and average daily balance.
Start with total credits, then remove everything that is not a sale: transfers from the company's other accounts, proceeds from a prior advance or loan, owner capital injections, tax refunds, reversed charges and one-time asset sales. What remains is collected revenue. Doing it by hand across several accounts and several months is where the hours go, and it is where the errors come from, because a single missed transfer pair can overstate revenue by a full month of sales.
The payback cap, sometimes called the repayment cap or multiple, is the total amount the funder will collect before the obligation ends, expressed as a multiple of the amount advanced. Caps vary widely by segment and by funder, and small-business revenue based funding is generally priced closer to merchant cash advance economics than SaaS-focused programs are. Because the cap is fixed while the term floats with revenue, the effective annualized cost rises when the business grows and pays back faster.
Look for recurring debits that arrive daily or weekly under a funder's ACH descriptor, and group every recurring debit by counterparty and frequency. Stacked positions rarely appear on the application, and merchants often do not consider a prior advance to be debt. If two or three funders are already collecting from the deposit stream, the revenue that appears available is not available, and the correct decision is usually a smaller advance or a decline.
The document work can be, and that is most of the clock. Automated analysis reads the statements, nets transfers out of deposits, computes revenue month by month with the trend, counts NSF and negative days, and surfaces existing advances and stacking, all traceable back to the transactions. What stays with a human is the credit judgment: how much revenue share this business can carry, what the cap should be, and whether the trend is a seasonal dip or the start of a decline.
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