LenderAnalyzer reads the credit file behind an equipment lease or loan. Upload the applicant's bank statements, business tax returns, interim financials and debt schedule, and get cash flow, debt service coverage, existing lease and loan obligations and stacking flags, in minutes rather than an afternoon. Self-serve from $99 a month, with an API for your lease origination system.
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Equipment finance runs on two speeds and one credit question. At the small-ticket end the deal is app-only: a one-page application, a credit pull, maybe a bank statement, and a decision back within hours. Many funders set that app-only ceiling somewhere around $150,000 to $250,000, though the exact threshold is a credit policy decision and moves with the equipment type, the vendor program and the obligor's time in business. Above it the file turns into a full financial package: two or three years of business returns, interim statements, a debt schedule, sometimes a guarantor 1040 and personal financial statement. The credit question does not change. Can this obligor service this payment on top of everything else it already owes, and is the collateral worth anything if it cannot. What changes is how much document work sits between the application and the answer. On a $400,000 middle-market lease that work is real: someone keys the returns, builds the spread, reconciles the debt schedule against the bank statements to find the equipment lines the schedule quietly left off, and computes coverage. LenderAnalyzer automates that layer. It reads the returns, the financials, the debt schedule and the operating account statements, extracts every line, computes cash flow, debt service coverage and existing obligations, and flags the loan and lease payments moving through the account that never made it onto the schedule the broker sent. Every figure links back to the source page, so the analyst validates rather than retypes. It is not a lease origination and servicing platform. It does not book contracts, calculate lease accounting, file UCC-1s or run a billing schedule. It is the document intelligence that feeds those systems, self-serve, at a price a small independent lessor or a bank equipment finance desk can start using today.
The mechanics differ from commercial real estate or working capital lending in ways that matter when you evaluate software for it.
App-only means the funder credit-decisions from the application, a business and personal credit pull, and public data, without collecting financial statements. It dominates the small-ticket market because the cost of underwriting a $60,000 forklift lease cannot exceed the margin on it. Many funders draw the line somewhere between $150,000 and $250,000, and some extend it higher for strong vendor programs or long-established obligors. Above the line the applicant submits a full financial package and a credit analyst underwrites it properly.
Typically two to three years of business tax returns, an interim balance sheet and income statement, a current business debt schedule, three to six months of operating account bank statements, and for closely held obligors a personal financial statement and the guarantor's 1040. Larger transactions add accounts receivable and payable agings. The debt schedule is the document to distrust, because it is self-reported and it is where existing lease obligations go missing.
A debt schedule is what the obligor tells you it owes. The operating account is what it actually pays. Reconciling one against the other is the single highest-value check in an equipment finance file, because a company that recently took two merchant advances or a second lease will show those debits every month while the schedule it emailed you is six months stale. Automated statement analysis groups recurring debits by creditor and surfaces the obligations that never made the schedule, which is exactly the disclosure gap that turns a 1.35x coverage into a 1.05x coverage.
Start from the obligor's cash flow available for debt service, usually EBITDA off the business return adjusted for owner compensation and non-recurring items. Divide it by total annual debt service including the proposed lease or loan payment and every existing obligation, whether the obligation appears on the balance sheet or only in the bank statements. Most equipment finance credit policies want 1.20x to 1.25x, tightening for soft collateral and easing for essential-use equipment with a deep secondary market. Off-balance-sheet operating lease payments belong in the denominator.
Essential use and resale liquidity. A CNC machine on the production floor of a profitable shop, a Class 8 truck, a piece of medical imaging equipment with an active secondary market: these recover value. Highly customized, installed or software-dependent equipment does not, and neither does anything the obligor could operate without. Underwriters price the difference in the coverage they require and in how much weight they put on the guarantor. The financial analysis is what tells you whether you are relying on cash flow or on the iron.
Where a document analysis layer fits next to the lease origination and servicing platforms in this market. Last updated July 2026; the platforms are quote-based, so confirm current pricing with each vendor.
| Approach | Best for | What it covers | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Lessors and bank equipment finance desks that want fast credit analysis on every full-package deal | Reads tax returns, financials, debt schedules and bank statements; computes cash flow, DSCR, existing obligations and stacking flags | Yes, free live analysis, no sales call | Transparent, $99 to $399/mo |
| Solifi | Established lessors wanting an end-to-end origination and servicing platform | Lease origination, contract booking, servicing, portfolio and lease accounting | No, sales demo and implementation | Quote-based enterprise |
| Odessa | Larger lessors wanting a configurable lease lifecycle platform | Origination, servicing, remarketing and portfolio management | No, sales demo and implementation | Quote-based enterprise |
| LTi Technology Solutions (ASPIRE) | Independent lessors and captives across small and middle ticket | Lease and loan origination, contract management and servicing | No, sales demo and implementation | Quote-based enterprise |
| Automated scorecard, app-only | Small-ticket transactions below the funder's financial statement threshold | Bureau data, time in business and public records decisioned by rules, no financial analysis | Built in-house or licensed | Not comparable |
| Manual spreading in Excel | Low volume of full-package credits | An analyst keys the returns and builds the spread by hand, accurate but slow | Not applicable | An hour or more per file |
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.
It is software that automates the credit analysis behind an equipment lease or loan. It reads the obligor's bank statements, business tax returns, interim financials and debt schedule, extracts every line item, then computes cash flow, debt service coverage, existing lease and loan obligations and risk flags. LenderAnalyzer covers that analysis layer self-serve from $99 a month and delivers results by Excel export or REST API into a lease origination system.
App-only means the funder decisions a transaction from the credit application, a business and personal credit pull and public records, without collecting financial statements. It exists because underwriting cost has to stay proportional to a small-ticket deal. Many funders set the app-only ceiling somewhere between $150,000 and $250,000, with the exact threshold set by their own credit policy, the equipment type and the obligor's time in business.
Once the transaction clears the funder's app-only threshold, or when the obligor is newly formed, in a stressed industry, or already carries meaningful debt. The package is normally two to three years of business tax returns, interim financial statements, a business debt schedule, recent operating account bank statements, and for closely held obligors a guarantor 1040 and personal financial statement.
Divide cash flow available for debt service, typically EBITDA adjusted for owner compensation and non-recurring items, by total annual debt service including the proposed lease payment and every existing obligation. Most equipment finance credit policies target 1.20x to 1.25x. The common error is understating the denominator: existing leases, merchant advances and off-balance-sheet operating lease payments all belong in it, and they frequently appear in the bank statements before they appear on the debt schedule.
Because the debt schedule is self-reported and often stale, while the operating account is a record of what the obligor actually pays. Grouping recurring debits by creditor exposes lease payments, term loan payments and merchant advances that never made it onto the schedule. On a marginal file this is usually the difference between an approval and a decline, and it is the check most often skipped when an analyst is working under time pressure.
The document and analysis layer can. AI reads the returns, financials, debt schedule and statements, extracts the line items and computes the coverage and obligations, while the credit decision, the collateral view and the structure stay with your team. Small-ticket app-only decisioning is already automated by scorecard. The gap that software closes is the middle: the full-package credits that still get spread by hand.
No. LenderAnalyzer is not a lease origination or servicing platform. It does not book contracts, file UCC-1 financing statements, calculate lease accounting under ASC 842, or run billing. It automates the credit analysis on the documents and hands the structured result to whatever origination and servicing system you run, through an Excel export or a REST API with webhooks.
LenderAnalyzer publishes its pricing at $99, $199 and $399 a month, with roughly 50% off annual billing, and a credit analyst can upload a real file today without a sales call. The lease origination and servicing platforms that equipment finance companies evaluate alongside it are quote-based, involve an implementation project, and are priced against portfolio size rather than seats.
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