LenderAnalyzer is the document analysis layer for commercial credit. Upload a commercial borrower's tax returns, financial statements and bank statements and get the spread back: revenue and expense lines, EBITDA, global cash flow, debt service coverage and existing debt, every figure traceable to the page it came from. Self-serve from $99 a month, no RFP and no implementation project.
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Commercial loan underwriting is the analysis a bank or credit union performs before it puts a C&I or commercial real estate credit on the books: can this business service the proposed debt, and what happens to that capacity if conditions turn. Unlike consumer credit, almost none of the answer arrives as structured data. It arrives as PDFs. Three years of business tax returns, a company-prepared income statement and balance sheet, an interim statement, a personal 1040 for each guarantor, a business debt schedule, and twelve months of bank statements. Before any credit policy rule, risk-rating model or decision engine can touch that credit, someone has to read those documents and key the numbers into a spread. In most commercial shops that is still a credit analyst working line by line in Excel or in the spreading screens of the core platform, and it runs one to three hours per relationship, longer when the borrower has multiple entities and the analyst has to eliminate intercompany rent and related-party debt by hand. That keying is the bottleneck in commercial underwriting, and it is the part LenderAnalyzer automates. Point it at the documents already sitting in the credit file and it extracts every line item, normalizes the tax returns and company-prepared statements onto a common template, computes EBITDA and adjusted cash flow with the add-backs itemized, rolls guarantor income into a global cash flow, calculates debt service coverage against the existing schedule plus the proposed loan, and returns bank statement evidence such as average daily balance, NSF counts and existing debt payments to test the reported numbers against what actually moved through the account. What the software does not do is make the credit decision. Your policy, your risk-rating scale and your credit committee stay exactly where they are. It removes the data entry in front of them, so an analyst validates a finished spread instead of building one, and the credit officer spends their time on structure and risk rather than on typing.
Buyers searching for commercial loan underwriting software are usually solving one of two very different problems: replacing the workflow that moves a commercial file from application to approval, or getting through the financial analysis on each credit faster. The two are sold together often enough that it is worth separating them before you shortlist anything.
Commercial loan underwriting is the evaluation a lender performs to decide whether a business can repay a proposed loan and on what terms. It centers on repayment capacity, measured as cash flow against total debt service, and takes in collateral, guarantor support, credit history, industry conditions and loan structure. In practice the analyst rebuilds the borrower's cash flow from tax returns and financial statements, tests it against the existing debt schedule plus the new request, and documents the result in a credit memo for approval.
They solve different halves of the problem. A commercial loan origination system such as nCino, Abrigo or Baker Hill runs the workflow: application intake, document checklists, credit routing, approval governance, exception tracking and booking to the core. It assumes the borrower financials are already spread. Commercial credit analysis software produces those spreads in the first place, reading the returns and statements and computing the cash flow and coverage figures the workflow then carries. LenderAnalyzer is the second kind, and its output feeds an LOS through a REST API rather than replacing one.
Most US commercial borrowers under about $10 million are closely held, and the operating company, the real estate holding entity and the owners are financially entangled. Underwriting the operating company alone can overstate or understate capacity badly, because the building rent may be paid to a related entity and the owner may carry personal debt the business ultimately services. Global cash flow combines business and guarantor cash flow, then eliminates the double counting between them. It is the analysis examiners expect on guaranteed commercial credits, and it is the slowest to build by hand because it spans several returns at once.
Run your own worst documents through any tool you are evaluating, not the vendor demo file. Scanned bank statements, a tax return with several K-1s, a company-prepared statement with an unusual chart of accounts and a multi-entity borrower will tell you more in twenty minutes than an hour of slides. Check three things specifically: whether every extracted figure links back to the source page so a reviewer can verify it, whether the add-backs in the cash flow are itemized rather than rolled into one number, and whether the tool exports in a form your credit memo and core system can actually consume.
The main options US banks and credit unions shortlist for commercial credit, and what each one actually covers. Last updated August 2026; the enterprise platforms are quote-based with no published pricing, so confirm current figures with each vendor.
Swipe sideways to see the full comparison
| Option | Best for commercial lending | What it covers | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Commercial credit teams that want the financial analysis on each credit done faster | Reads tax returns, financial statements and bank statements into EBITDA, global cash flow, DSCR and existing debt | Yes, live trial with no sales call | Published, $99 to $399/mo |
| nCino | Larger banks running commercial origination end to end, often already on Salesforce | Full commercial LOS: intake, workflow, credit routing, approval governance, booking | No, RFP and demo first | Quote-based enterprise |
| Abrigo | Community banks and credit unions wanting origination plus credit risk in one vendor | Commercial and small business origination, spreading, risk rating, loan review and BSA/AML | No, sales demo first | Quote-based enterprise |
| Baker Hill NextGen | Community and regional banks buying origination plus portfolio risk together | Commercial and small business origination workflow, spreading and portfolio monitoring | No, sales demo first | Quote-based enterprise |
| Moody's CreditLens | Banks wanting standardized spreading with Moody's risk models attached | Financial spreading, risk rating and probability-of-default scoring on commercial credits | No, sales demo first | Quote-based enterprise |
| Manual spreading in Excel | Low commercial volume, or shops with an established template they trust | Whatever the analyst keys from the returns and statements by hand | Not applicable | Analyst time, one to three hours per relationship |
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.
Commercial loan underwriting software is the tooling a bank, credit union or non-bank lender uses to analyze a business borrower and decide whether to approve a commercial credit. The category covers two distinct things: origination platforms that run the approval workflow, and credit analysis tools that read borrower documents and compute the numbers. LenderAnalyzer is the second kind. It turns tax returns, financial statements and bank statements into EBITDA, global cash flow, debt service coverage and existing debt, with every figure traceable to its source page.
A commercial loan is underwritten in five steps. The lender collects the borrower's tax returns, financial statements, bank statements and debt schedule; spreads those financials onto a standard template; calculates repayment capacity as cash flow against total debt service including the new request; assesses collateral, guarantor support and industry risk; then documents the analysis in a credit memo for approval. The spreading step is the most time-consuming and the one most often automated.
Most US commercial loans take two to eight weeks from complete application to decision, and commercial mortgages commonly run four to twelve weeks depending on property complexity and appraisal timing. Waiting on borrower documents is usually the largest single delay, followed by the analyst hours needed to spread the financials. Automating the spreading step removes days from the internal portion of the clock but does not change third-party items like appraisals and environmental reports.
Not quite, though the terms get used interchangeably. Commercial lending software is the broad category covering origination, underwriting, servicing and portfolio management. Commercial underwriting software refers specifically to the credit analysis layer: spreading the borrower financials and computing repayment capacity. If you are shopping and the shortlist mixes both, sort the vendors by which problem they actually solve before comparing prices, because the two carry very different implementation costs.
The document work can, and that is where the hours are. AI reads the tax returns, financial statements and bank statements, extracts every line item, normalizes them onto one template and computes EBITDA, global cash flow and debt service coverage with the add-backs itemized. What stays with your team is the judgment: the risk rating, the structure, the covenants and the approval. Automating the extraction and the math typically turns a one to three hour spread into a review of a finished one.
No. An LOS owns the workflow around a commercial file: intake, checklists, credit routing, approvals, exception tracking and booking to the core. LenderAnalyzer owns the analysis inside it, producing the spread the workflow carries. Most commercial teams that use both push the computed cash flow, coverage and debt figures into their LOS or credit memo through the API, so the origination platform stays the system of record and the spreading stops being manual.
A standard US commercial credit file carries three years of business tax returns, company-prepared income statements and balance sheets plus a current interim statement, personal tax returns and a personal financial statement for each guarantor, a business debt schedule, an accounts receivable and payable aging, and six to twelve months of business bank statements. Real estate credits add a rent roll, operating statements and an appraisal. LenderAnalyzer reads the returns, statements and bank statements directly.
It depends entirely on which layer you buy. Commercial origination platforms such as nCino, Abrigo and Baker Hill are quote-based with no published pricing, scale with institution size, and carry implementation projects usually measured in quarters rather than weeks. Credit analysis tools are cheaper and faster to adopt because there is no workflow to configure. LenderAnalyzer is self-serve at $99 to $399 a month with roughly 50% off annual billing, so a commercial team can spread a real credit the same day.
How credit teams run these calculations by hand, so you can see exactly what the software automates.
What actually happens between a completed application and a credit decision.
The document the whole analysis exists to produce, and the numbers it has to carry.
The multi-entity analysis that is slowest to build by hand on closely held borrowers.
Where the spread you just built turns into the grade the loan carries.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
