Data report · synthetic compositeThis is a model data report, written the way the analysis usually unfolds. Numbers drawn from a synthetic 2,000-loan demo book. Names and identifying details are invented.
How they lend: Indirect lenderDealer attribution Direct lenderBorrower segments
LendRisk Analytics · Worked Example · Synthetic Data

How to read
a subprime book.

A worked example on a synthetic composite book · Every figure is illustrative

Prepared  LendRisk Analytics
Date  May 2026
As-of  April 30, 2026
Loans  2,000
Line size  $40M senior warehouse
Worked example · Synthetic
2,000
Active loans
$32.4M
Originated balance
9.6%
NCO · annualised
4.2%
90+ DPD
574
WA FICO
How to read this

This is a worked example: one synthetic book read the same way a warehouse bank's surveillance team eventually reads it, except caught early, while there is still time to act. It is here to show what the analysis looks like, nothing more.

One synthetic book run through five tools: the dashboard, the dealer scorecard, the vintage static pool, the vehicle-to-term matcher, and the covenant projector. Read it top to bottom. It moves from "this book looks fine" to the exact dealers, the exact month, and the three moves that keep the line open.

01 · We open the tape
On paper, you look completely fine.
Tool · Portfolio Dashboard
Walking the book

Start with the headline numbers, the same five at the top of this page. Net charge-offs running 9.6% annualised, 90+ delinquency at 4.2%, weighted FICO 574. The NCO covenant cap is 13.5%. So today the book sits almost four full points under its cap.

If we stopped right here, you would feel fine. Your bank would feel fine on the snapshot. The note would end here. Most reviews stop here, which is exactly why most problems are found by the lender's bank instead of the lender.

A book is a movie, not a photograph. The number that matters isn't where you are. It's how fast you're moving, and in which direction.
02 · The slope, not the snapshot
Watch the column nobody puts on the dashboard.
Tool · Covenant Projector · trend read
What I'm pointing at

Look at the "Monthly Δ" column. Your NCO is not parked at 9.6%, it is climbing 0.65 points every month. Your 90+ DPD is climbing 0.30. The level is comfortable. The trajectory is not.

That slope is a straight line I fit through your last six months of readings. Carry it forward and the comfortable gap to your cap closes faster than anyone in the room expects.

Metric Current Monthly Δ Covenant cap Headroom Status
NCO (annualised) 9.60% +0.65 pp 13.50% 3.90 pp ⚠ 6 months
90+ DPD 4.20% +0.30 pp 6.00% 1.80 pp ⚠ 6 months
WA FICO 574 −1.2 / mo 560 floor 14 pts ✓ Watch
60+ DPD 7.10% +0.40 pp n/a n/a ⚠ Elevated
Advance rate (blended) 112% LTV stable n/a n/a ✓ In policy
Benchmark: Fitch subprime auto ABS, Jan 2026, NCO 9.81% · 60+ DPD 6.65%. You are roughly at market on the level, and above market on the rate of change.
At this slope, your book breaches its NCO cap in six months. That puts it in October.
03 · Who is doing the damage
Is the whole house on fire, or three rooms?
Tool · Dealer Scorecard
The question that changes the plan

This is the question you ask the second you see the slope: is my whole book deteriorating, or is a handful of dealers dragging the average. Because the answer decides whether you reach for a sledgehammer or a scalpel.

So we attribute. Every dealer, ranked by what they are actually costing you, not by volume, by loss and by how early their paper goes bad.

Dealer Loans % of book Net loss EPD rate Severe 60+ Flag
Dealer N924.6%
16.4%
29.3%38.1% Toxic
Dealer H1487.4%
15.1%
27.0%35.8% Toxic
Dealer C20010.0%
14.8%
27.8%34.2% Toxic
Dealer F1185.9%
9.4%
9.1%18.3% Watch
Dealer M954.8%
8.8%
8.4%17.1% Watch
13 remaining dealers967n/a
5.1%
6.8%13.2% Clean
18 dealers total · EPD network median 7.2% · the three toxic dealers run 3.9× the network EPD · HHI 1,840 (moderate concentration)
Reading it back to you

Three names do almost all of the work: Dealers C, H, and N. Together they are 22% of your originations and 51% of your severe delinquency. Their early-payment-default rate is around 28%, nearly four times your network median. That is the tell. EPD this high means these loans were not good loans that went bad. They were bad the day they were written.

Meanwhile your 13 clean dealers are running 5.1% loss, comfortably under market. You do not have a book problem. You have a three-dealer problem hiding inside a book-level average.

Twenty-two percent of the book. Fifty-one percent of the damage.
04 · When it started
The damage has a date stamp.
Tool · Vintage Static Pool
Why timing matters

Knowing who is half the answer. Knowing when tells you whether it is still happening or already behind you. So we line up every origination quarter as its own static pool and watch each one age at the same number of months on book. That strips out the "newer loans look better because they are younger" illusion.

Vintage Loans Orig $ Avg MOB 60+ DPD Charged off Cum net loss
2023 Q1371$5.9M396.1%9.4%9.8%
2023 Q2368$5.8M366.4%8.9%9.3%
2023 Q3 ▲374$5.9M338.8%11.2%12.4%
2023 Q4 ▲369$5.8M309.1%10.8%11.9%
2024 Q1377$6.0M275.9%5.2%6.1%
2024 Q2141$2.1M244.8%3.1%3.4%
▲ Flagged cohorts: 2023 Q3 and Q4 exceed 11% cumulative loss at month 30-33, about 1.4× what 2023 Q1-Q2 did at the same seasoning. Common factor underneath: 72-month terms, 8-10 year vehicles, concentrated in Dealers C, H and N.
Reading it back to you

The break is the back half of 2023. Your Q3 and Q4 pools are running 12% cumulative loss at month 30, while your older 2022 and early-2023 paper sat near 9% at the same age. Same dealers underneath, same loan structure. And notice 2024 is already coming in cleaner, that tells me whatever changed in late 2023 has partly self-corrected, but the bad vintage is still on your book bleeding.

05 · Why those loans go bad
You didn't underwrite a borrower. You underwrote a car.
Tool · Vehicle-to-Term Matcher
The mechanism, so you can defend the finding

Here is the why, because when the bank asks, you want to say you understand the cause, not just that you spotted the symptom. The flagged paper is 72-month terms on 8 to 10 year old vehicles. Put the depreciation curve next to the amortization curve and the problem draws itself.

Loan balance vs. vehicle value · 72-month term, 9-year-old vehicle (illustrative)
Loan balance Vehicle value Default window Negative equity 0 12 24 36 48 60 72 Months on book
Loan balance (72-mo amortization) Vehicle value (depreciation) Where defaults cluster
Reading it back to you

You advanced above the car's value on day one, that is your 112% blended LTV. On a 9-year-old vehicle the value falls off a cliff while a 72-month note barely moves in the early years. The negative-equity gap is widest right where these loans actually default, months 18 to 36. A borrower who hits a bump there cannot sell or refinance their way out, the car is worth thousands less than they owe, so the keys come back instead.

The term outran the metal. The loan runs to 72; the car was gone by 36.
06 · Where this ends
Now we put it on the calendar.
Tool · Covenant Breach Projector
The part the bank cares about most

This is the slide your warehouse bank will care about more than any other, because these are their covenants. I take the slopes we measured and run them to the line. Same math they will run, just earlier.

NCO Covenant · Breach projected
6 months
Current 9.6% · cap 13.5% · slope +0.65 pp/mo
Projected breach: October 2026
2 of 6 mo consumed
90+ DPD Trigger · Breach projected
6 months
Current 4.2% · trigger 6.0% · slope +0.30 pp/mo
Projected breach: October 2026
2 of 6 mo consumed
FICO Floor · Compliant
14 pt headroom
Current 574 · floor 560 · drift −1.2 pts/mo
Projected floor: 12 months out
~2 of 14 pts consumed
Post-intervention · NCO slope
18+ months
After pausing Dealers C, H, N: slope +0.22 pp/mo
Breach pushed beyond 18-month horizon
Line preserved
Reading it back to you

NCO and 90+ DPD both break in month six. The same month. October. A breach trips your cash sweep, the sweep halts new originations, and you lose access to the line at the exact moment you would need it to grow out of the problem. Your FICO floor is not the worry. That is a year out. The fourth card is the one I like ending on, because that is this same book after we act. Hold that thought.

07 · The fix
A scalpel, not a sledgehammer.
Tool · Dealer Scorecard + Underwriting policy
Why not just pull back

The instinct under covenant pressure is a book-wide pullback, cut everyone. That is the panic move, and it punishes your 13 clean dealers for the sins of three. It also kills the yield you need to recover. Because we attributed the loss to named dealers, we can do something far more precise.

Intervention outcome · modelled
Pause new originations from Dealers C, H and N only. New submissions on hold, existing paper stays on the book under enhanced monitoring. Nothing else changes. The remaining 15 dealers keep funding without interruption.
+0.65 → +0.22
Monthly NCO slope
~140 bps
Yield recovered
~$1.8M
Covenant headroom restored
Reading it back to you

That one move flattens your slope from 0.65 to 0.22 a month, which pushes the breach from October out past the 18-month horizon. You recover roughly 140 basis points of yield and about 1.8 million of covenant headroom versus the book-wide cut, and your healthy dealers never feel a thing. That fourth covenant card from the last section, the green one, that is this scenario.

Three dealers paused. The line preserved. Fifteen dealers never interrupted.
08 · What you do Monday
Three actions. One is immediate.
Output · the page you keep
What the analysis points to

Here is where the numbers lead. Short enough to act on in a week, documented enough to stand up on a bank's next surveillance call.

1
Immediate · This week
Pause new originations from Dealers C, H, and N
Notify all three that new submissions are on hold pending performance review. Do not terminate the relationship, existing paper stays in the book under enhanced monitoring. The pause alone flattens your monthly NCO slope to +0.22 pp and removes the October breach risk. Document the decision and the data behind it for the bank's next surveillance call.
2
30 days · Underwriting policy
Cap term at 60 months on vehicles aged 8 years or older
72-month terms on 8-10 year vehicles is the structural driver of the 2023-H2 deterioration. The collateral falls below the balance early and stays there through the default window. Capping term at 60 months on this vehicle profile cuts expected loss by roughly 35% on new originations in the segment. Apply it to all dealers, not just the three flagged.
3
Ongoing · Monthly
Run the dealer scorecard monthly; watch Dealers F and M
Dealers F and M sit above the network median (9.4% and 8.8% loss) but below the toxic threshold. Both bear watching the next two cycles. If either crosses 11% NCO or 20% EPD, apply the same pause protocol. A monthly refresh catches the slope before it ever reaches the aggregate, which is the whole point: you find it here, not on the bank's call.
Method & lineage. Net loss = (charge-off − recovery) ÷ originated balance, computed per loan and aggregated by vintage and dealer. Vintages group by origination quarter. MOB = months from origination to as-of date (April 30, 2026). 60+ DPD counts loans in 60/90/repo buckets over active loans (paid-off and charged-off excluded from denominator). EPD = first default ≤3 months on book. Covenant slope derived from linear regression over the prior 6 months of monthly NCO readings. Dealer median excludes the top 3 outliers to avoid upward skew. The balance-versus-value chart in section 05 is illustrative of the structure, not a per-loan plot. This was prepared on a synthetic composite portfolio for illustration; the method is the same one a risk desk would apply to a live book.
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Independent market research
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LendRisk Analytics · lendriskanalytics.com
Worked Example · May 2026
Synthetic data · Illustrative only
The point
The aggregate hides the answer.
A book like this reads compliant right up until the month it does not. The slope, the three dealers, and the breach date were all sitting inside an average that looked fine. Attribution is what turns a calm snapshot into a decision you can actually make.