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Eight industries.
Eight underwriting
playbooks.
One 48-hour decision.

GFAF underwrites each vertical on its own collateral logic — receivables aging for staffing, equipment depreciation for trucking, inventory turn for e-commerce. Submit once, get a term sheet in 48 hours, fund inside 10 business days.

  • $50K–$5M ticket range
  • 92% decisions inside 48 hours
  • 38% first-look approval rate

Underwriting is built per vertical, not borrowed from consumer credit.

A trucking operator's file is read by miles-per-truck, tractor age, and lien position. A staffing agency's file is read by receivables aging, concentration, and payroll cadence. An e-commerce seller's file is read by Amazon seller-central velocity, SKU turn, and inventory aged 90 days or less. Each gets its own model, its own advance rate, its own doc request list — and its own deal team.

GFAF has funded deals in 49 U.S. states and 3 Canadian provinces since 2017, closing 3,140 transactions across a portfolio of $487M underwritten. The verticals below are not marketing copy. They are the eight books on our balance sheet — each staffed, each documented, each with a trackable repeat-borrower pattern.

Section 01 — Index

The eight verticals we underwrite — and the deal volume behind each.

  1. 01
    Trucking & Freight
    Equipment depreciation, tractor age, miles-per-truck, carrier authority.
    $75K – $750K
    1,184deals funded
  2. 02
    Construction & Contractors
    Heavy equipment book value, backlog, GC credit, retention.
    $100K – $1.2M
    612deals funded
  3. 03
    Staffing & Light Industrial
    Receivables aging, client concentration, payroll cadence, pay-when-paid risk.
    $50K – $500K
    487deals funded
  4. 04
    E-Commerce & Amazon FBA
    Inventory turn, aged stock < 90 days, Seller Central velocity, parent ASIN health.
    $75K – $2M
    298deals funded
  5. 05
    Manufacturing & Fabrication
    Machine tool value, WIP, raw material stock, PO-backed receivables.
    $150K – $3M
    221deals funded
  6. 06
    Medical & Dental Practices
    Equipment book, insurance receivables aged < 90, payer mix.
    $60K – $750K
    163deals funded
  7. 07
    Food & Beverage / Distribution
    Cold-chain equipment, route concentration, inventory perishability bands.
    $100K – $1M
    104deals funded
  8. 08
    Restaurants & Multi-Unit Operators
    Tenant improvements, FF&E, liquor license collateral, brand-level cash flow.
    $50K – $400K
    71deals funded

Counts are funded deals across the GFAF book since 2017. Source: internal portfolio management, audited 2024.

Section 02 — Deep Dives

Three verticals, three distinct deal structures.

I.

Trucking — equipment term loans against titled tractors and trailers.

Our largest book by deal count. We lend against the equipment itself, not the carrier's FICO — A- credit floor accepted, deals structured around collateral.

Collateral class
Titled tractors and trailers; refinance of existing floorplan lines.
Structures we write
Equipment term loan, sale-leaseback, refinancing.
Advance rate
Up to 100% of wholesale book value on 2020+ units.
Doc request
MC/DOT authority, equipment list with VINs, last 3 months of bank statements.
"Three tractors refinanced off a floorplan, closed in eight business days. No personal recourse added — underwritten on the iron and the lanes."
— Repeat borrower, TX-based dry-van fleet · File 02-4102
II.

Construction — heavy equipment, sale-leasebacks, and PO-backed lines.

GC-credit and backlog-aware. We write against excavators, dozers, and skid steers — and, where there is a clean PO on a creditworthy general, we attach the receivable to the structure.

Collateral class
Heavy equipment (Cat, Deere, Kubota, Komatsu), PO receivables, fleet vehicles.
Structures we write
Equipment term loan, sale-leaseback, PO + inventory line.
Advance rate
Up to 90% of appraisal, with 15–20% holdback on rolling stock.
Doc request
WIP schedule, GC list, backlog, equipment appraisal, last 4 months of bank statements.
"We bought out a leased excavator and added a skid-steer line for a new subdivision contract — same file, single term sheet."
— Site-work operator, FL · File 04-0987
III.

E-commerce — inventory lines against FBA stock and a true 48-hour underwrite.

Amazon FBA sellers, Shopify operators, and DTC brands. We read Seller Central directly, score the parent ASIN set, and lend against the aged-90 inventory plus forward POs.

Collateral class
Amazon FBA inventory, Shopify/DTC stock, in-transit POs, brand IP (where registered).
Structures we write
Inventory line, PO financing, growth capital term loan.
Advance rate
Up to 70% of eligible aged-90 inventory; up to 85% on confirmed POs.
Doc request
Seller Central read-only access, 12-month P&L, supplier list, inventory aged report.
"We needed stock to ride a Q4 ranking window — line was sized, docs in, funded on day seven. Inventory aged under 60 days was the entire underwrite."
— Health & wellness brand, 8-figure Amazon revenue · File 06-1204
Section 03 — The Portfolio

The portfolio behind the verticals.

$487M
Underwritten
Across 3,140 funded deals since 2017. Direct funder model — no broker markup, no syndication delay.
3,140
Funded Deals
From a 38% first-look approval rate — versus an industry average near 11%.
49
U.S. States + 3 Canadian Provinces
Funded in 49 states and 3 Canadian provinces. In-house legal and docs team in 11 states.
71
NPS Across Funded Borrowers
2024 Net Promoter Score. Repeat borrower rate of 41% — sustained operator trust, not one-time close.
Named 'Top Specialist Lender — SMB'FinanceBuzz Awards 2024
Series A — $22M led by Lattice Capital PartnersClosed 2023
Member, American Association of Private LendersSince 2018
SOC 2 Type II — Underwriting Data HandlingAudited 2024
Section 04 — The Method

How we underwrite each vertical on its own collateral.

  1. Ch. 01

    Equipment appraisal & lien position.

    For trucking, construction, medical, and manufacturing, the file begins with the asset list. We confirm VIN, serial, and condition — and we pull the existing UCC-1 / title status to confirm first-lien position before any term sheet is issued.

    • Collateral type: Titled equipment, heavy iron, FF&E
    • Doc request: Equipment list with serials, current title, existing UCC search
    • Decision driver: Wholesale book value × advance rate, minus payoffs
  2. Ch. 02

    Receivables aging & concentration.

    For staffing, services, and any vertical where the receivable is the asset, we read aging reports in 30-day buckets and score concentration against the top three obligors. A 40% top-obligor book is a different underwrite than a 12% book — even at the same revenue.

    • Collateral type: Accounts receivable, contracted PO backlog
    • Doc request: AR aging, top-10 customer list, contract terms
    • Decision driver: Eligible AR × advance rate, concentration haircut applied
  3. Ch. 03

    Inventory turn & aged-stock bands.

    For e-commerce, food & beverage, and retail-adjacent operators, the file lives in the inventory aged report. Stock aged under 90 days is treated differently than stock over 180 days — and our advance rates reflect the band, not the headline total.

    • Collateral type: FBA inventory, finished goods, raw & WIP
    • Doc request: Inventory aged 30/60/90/180, COGS, supplier terms
    • Decision driver: Eligible aged stock × advance rate, per-band
  4. Ch. 04

    Structure, docs, and the 48-hour decision.

    Once the collateral class is scored, we layer structure — term, amortization, recourse, and any specialty wraps (PO tranche, floorplan refinance). In-house legal closes in 11 states; outsourced closings are not how we operate. The 48-hour decision is the output of the prior three chapters — not a promise in lieu of them.

    • Collateral type: All — this chapter produces the structure
    • Doc request: Final term-sheet signoff, payoff letters, insurance binders
    • Decision driver: Underwriter approval → term sheet issued → docs → fund

Eight verticals, four chapters, one 48-hour clock. Submit your deal and a deal-team underwriter will return a term sheet.

Get a Term Sheet in 48 Hours