Inside the Desk

What underwriters
really look for.

Goliath Underwriting Desk · April 29, 2026

Every underwriter has a thirty-second triage routine and a five-minute deep read. The signals they're looking for aren't a secret — but they're rarely written down anywhere outside the desk. This is the inside view: what we look at, what it tells us, and what you can do about it.

When an experienced underwriter opens a bank statement, they're not reading line by line. They're scanning a familiar shape: the top-of-month deposits, the mid-month dip, the daily balance line, the descriptor patterns at the bottom of the page. Within the first thirty seconds, they've formed an opinion about whether the file looks healthy. The rest of the review is confirming or revising that opinion. Here are the signals doing the work.

Deposit consistency, not just volume

The first metric that matters is monthly deposit volume — but it's the consistency across months that wins or loses the deal. A business depositing $50K, $52K, $48K, $51K across four months is a much stronger file than one depositing $20K, $90K, $35K, $75K, even though the second has higher total volume. The first is predictable revenue we can size against; the second is feast and famine, and the underwriter has to price the famine months into the offer.

Inside any given month, we look at deposit cadence. A retail or restaurant business should show daily or near-daily deposits with weekend pattern matching the business type. A B2B services business might show two or three large deposits a month tied to invoice cycles. We notice when the cadence doesn't match the stated industry — when a "restaurant" deposits twice a month in $30K chunks, the file gets a second look because the pattern doesn't fit the model.

NSF frequency and recency

NSF — non-sufficient funds — is the loudest signal in any statement. We count NSFs by month and weight the most recent month heavily. A file showing 1 NSF in January, 2 in February, 0 in March, and 1 in April reads as well-managed. A file showing 0, 0, 0, 7 reads as deteriorating, and the most recent month dominates our view of risk.

We also look at what triggered the NSF. An NSF on a $35 subscription that processed on the morning before payroll hit is forgivable. An NSF on a daily ACH from another funder is a red flag because it suggests the operator is already struggling to service existing positions. Same NSF on the statement; very different underwriting implication.

End-of-month balance discipline

A pattern that betrays cash-flow stress: every statement ends near zero. The operator runs the account down to nothing each month, with no buffer for the first-of-the-month auto-debits. This is a quiet decline signal because it tells us the business is operating without margin for error — any single late payment or unexpected expense triggers cascade.

We prefer to see end-of-month balances at at least 10% of monthly deposit volume. A business depositing $80K per month should be ending each month with $8K or more in the account. That buffer tells us the operator is managing the business with a cushion — and that a daily debit can be absorbed without immediately triggering an overdraft.

The daily balance line

Most bank statements include a daily balance summary at the back of the document. Underwriters love this page because it compresses the month into a single chart. We're looking at the low point of the daily balance, the average of the daily balance, and the number of days the balance was negative.

The math: if your average daily balance is $5,000 and we're considering a daily debit of $400, you have about a 12-day cushion before the account would hit zero assuming no new deposits — and that's the bare arithmetic before factoring in ongoing operating expenses. We size offers around how much daily debit your balance line can carry without breaking.

Holdback math from the lender side

When we structure an MCA, we're solving for a holdback percentage that takes a comfortable share of daily deposits. The industry-standard target is 8% to 15%of average daily revenue. Below 8%, the term gets too long; above 15%, the operator can't survive the daily haircut.

For a business depositing $3,000 per day on average, an 11% holdback puts the daily debit at $330. The factor and total payback then back into the term: at a 1.30 factor on a $50K advance, total payback is $65,000, and 195 weekday debits at $333 each lands the deal at roughly a nine-month term. Underwriters do this math in their head. If the math doesn't work — usually because the daily balance can't carry the debit — the offer shrinks until it does.

Industry-specific signals

Different industries have different "healthy" signatures, and good underwriters adjust their reading accordingly. A restaurant should show heavy weekend deposits and a Sunday-night batch. A contractor should show large invoice deposits interleaved with material vendor outflows. A medical practice should show insurance ACH descriptors from major payers. A trucking company should show fuel card auto-debits and broker payments at consistent intervals.

When the industry signature doesn't match — when a stated retail business shows no merchant processing deposits, or a stated contractor has zero material vendor outflows — the underwriter has to investigate. Most of the time the explanation is benign (the operator uses a separate account for merchant processing), but the file slows down while we verify.

The texture of recurring debits

Underwriters read the bottom of statements as carefully as the top. Recurring ACH debits tell us what the operator is committed to monthly: rent, insurance, subscriptions, software, payroll, vendor obligations. We add these up to estimate the operator's fixed monthly burn, then compare against deposit volume to see how much margin actually exists.

We're also looking for ACH descriptors that match known funders. "OnDeck", "STR CAP" (Strategic Funding), "CAN CAP" (CAN Capital), "Kabbage", "BlueVine", "Forward Financing", and dozens of others all have signature descriptors that an experienced reader spots instantly. Finding even one tells us we're looking at an existing position; finding two or more tells us we're looking at a stacked file.

Time in business and bank account vintage

Time in business gets measured from the date the operating bank account was opened — not the date of incorporation. We see this number on every statement (the "account opened" line on page one). A common surprise: a five-year-old LLC that opened a new bank account three months ago looks like a three-month-old business to most underwriters because there's no statement history to evaluate.

If you've recently switched banks, ask your old bank for the closing-balance statements so you can show continuous account history under a related business name. We can usually use that to bridge the gap.

Credit, but as a tiebreaker

Personal credit comes in late in the read. We pull a soft inquiry that returns FICO and a few summary metrics — open accounts, total balances, utilization, recent inquiries, public records. The score itself rarely makes or breaks the file unless it's below 500. What we're really watching for: open tax liens, recent bankruptcies, judgments, and aggressive recent inquiry patterns that suggest the operator is shopping for capital at multiple desks simultaneously.

A "shopping pattern" — multiple recent hard inquiries from MCA brokers — is a quiet negative signal because it suggests the operator has been declined elsewhere and is now showing up at our desk. We don't auto-decline for this, but it shifts the file from "investigate the upside" to "investigate the downside."

The five-minute decision

Once all of the above lines up — deposit consistency, NSF count, end-of-month balance, recurring burn, industry signature, no surprise positions, clean credit — an experienced underwriter can structure an offer in five minutes. The file that takes a week is the file with conflicting signals: strong deposits but heavy NSFs, clean credit but an undisclosed open position, claimed industry that doesn't match the descriptors. Those files don't get declined — they get slow, and slow files sometimes get cold while everyone waits for clarification.

The operator who understands this view of their own statements has a real advantage. They can fix the obvious weaknesses before submitting, attach one-paragraph notes that explain anomalies before the underwriter asks, and choose to apply when their texture is at its strongest. The underwriter's job is to read the file. The operator's job is to make sure the file reads well.

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