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Vector Insights · Merchant Cash Advance
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The tape already knows
Your MCA book can look healthy while every new vintage is getting worse.
A monthly origination cohort, built from the loan tape, is how you stop managing an average and start
watching a class of deals from the day cash goes out to the day it comes back, or does not.
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Monday morning. The dashboard is polite. Collection rate: 91%. Delinquency: “in range.” The warehouse is
still in-formula. Nobody is panicking.
Then someone slices the loan tape by funding month.
January’s class, at month four, had cumulative losses around 3%. June’s class, at the same age, is
already at 5%. The blended book never showed it. New deals always look clean: they have not had time to
break. Old deals look slow because most of their cash already arrived. The average was a compliment the
book did not earn.
That gap is why credit-card issuers and auto lenders have used vintage analysis for decades, and why
serious MCA shops are catching up. You do not manage a mixed pile of advances. You follow a monthly origination cohort (every deal funded in the same month) as it
ages.
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91%
Blended collection looks fine
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3%
January loss at month 4
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5%
June loss at the same age
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The takeaway
A blended collection rate can hide a bad new vintage.
Compare classes at the same months on book: January at month 4 vs June at month 4.
Those curves tell you if one typical deal is profitable over its life, not just busy this month.
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How the report walks
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1
Tape
Every deal
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2
Class
By fund month
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3
Schedule
Month 1, 2, 3
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4
Curves
Five shapes
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5
Unit economics
Profit / deal
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The tape is the ingredient list. The schedule is the recipe. The curves are the taste test. Unit
economics is the decision.
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01 Start with the class, not the pile
What a monthly origination cohort actually is
A merchant cash advance is a lump of cash to a small business today, paid back from future receipts.
Fund $10,000 at a 1.35 factor and they owe $13,500. Origination is the day the money leaves. A cohort is
every advance that left in the same month. Think of a graduating class.
Industry practice is to lock that class and watch it at the same age: months on book, or MOB. January at
MOB 4 is comparable to February at MOB 4. That like-for-like view strips out the distortion of mixing
deals originated under different standards, in different months, at different stages of life.
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Don't
Grade the seniors by mixing them with this week’s freshmen.
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Do
Lock the class. Watch it at the same age. That is vintage analysis.
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How MCA vintages typically season
Month 1 losses show up as a small number
Months 3–6 losses climb
After that flatten. Most deals have paid off
or already defaulted.
If half of a cohort’s eventual losses typically appear by month 4, a $300,000 loss at month
4 is a signal that ultimate losses may land closer to $600,000, while there
is still time to tighten underwriting, reprice, or cut a channel.
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02 The tape has to be able to talk
The loan-tape schema a cohort actually needs
The loan tape is the file of every advance: who got money, when, how much, what they owe, what they
paid, whether they are late, and whether the funder stopped expecting the rest. Schema is just the
columns. In practice this is often two files joined by an advance ID: a static origination table, and a
payment or monthly snapshot table.
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Field |
Why the cohort needs it |
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Advance ID |
Joins origination to later payments. |
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Origination date |
The cohort key: January, February, March. |
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Funded amount |
Cash out the door. Denominator for losses. |
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Receivable / payback |
Contracted repay. Denominator for the payment curve. |
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Factor, product, channel |
Which broker, industry, or price box is going wrong. |
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Payment date & amount |
Builds payment and collection curves. |
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Status each month |
Current, 30/60/90, paid off, charged off. |
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Charge-off & recoveries |
The write-off curve: late cash still counts. |
Volume rule: fewer than about 10–15 deals in a month? Use a quarterly vintage. One default can swing the
collection rate by 10 points.
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03 One origination. Then a calendar.
Why a cohort schedule beats a blended snapshot
Once the tape can name the class, you build a schedule. Rows are months on book. Columns are what
happened to that same January group: cash collected, income recognized, balances still out, deals that
went late, deals written off. You originated once. Everything after that is performance.
Keep the denominator honest: divide by original funded amount, not whatever is still outstanding this
week. Hard defaults lag. Slow pay (missed remits, partial ACH) shows up at month two. By month six the
only tools left are collections and write-offs.
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Blended snapshot |
Cohort schedule |
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One number for the whole book |
Rows = months on book for one class |
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Mixes January with June |
Same January group at month 1, 2, 3 |
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Looks polite on Monday |
Collected, still out, late, written off |
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Here is that like-for-like view. January and June, same months on book. January stays on a healthy
collection path. June does not. The blended 91% never showed this.
Cumulative collections as a % of contracted payback. Teaching example.
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MOB |
January |
June |
Gap |
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M2 |
34% |
30% |
−4 pts |
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M4 |
60% |
52% |
−8 pts |
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M6 |
78% |
68% |
−10 pts |
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M9 |
90% |
80% |
−10 pts |
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04 Five shapes. One class.
The performance curves you extract from the schedule
Plot the schedule and you are not inventing new data. You are watching the same January class do five
different things as it ages. Healthy MCA vintages typically see collection rates rise and then plateau
near 90–95% of contracted payback. A curve that flattens early, or a new vintage that sits below last
year’s at the same MOB, is the book talking.
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Payment curve
How much of the contracted receivable has arrived by each month on book. This is the payoff
trend of the class: the speed of the money.
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Collection curve
Cash that actually hit the account, including recoveries after a write-off. Payments are
what was scheduled. Collections are what you can spend.
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Income curve
When the factor is earned. On an MCA, profit is not a coupon that accrues evenly. Timing
here is the difference between a 40% yield and a 300% yield on the same 1.35 factor.
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Write-off curve
When the funder stopped expecting the rest. Charge-off curves are how you compare vintages,
provision, and project ultimate loss before a cohort is fully seasoned.
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Delinquency distribution
Not one “late rate.” The share of the original class that is current, 30/60/90, paid off, or
charged off. Roll rates tell you whether collections are catching, or feeding the write-off
curve.
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Same January class on a calendar. Collections come in early. Write-offs stay a thin monthly line.
Teaching example. Thousands of dollars by months on book.
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05 The point of the report
From those curves to unit economics: per loan, over its life
This is why the report exists. New volume can hide later losses. A life view of one vintage cannot. For
each $1 originated: what cash came back, what was lost, what it cost to originate and service, and what
was left as profit over the whole life of the deal.
Timing is not a footnote. A 1.35 factor collected in six weeks is a different business than a 1.35
factor collected in ten months. Factor rate alone is not profitability.
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Per $1 originated in January |
Amount |
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Cash funded |
−$1.00 |
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Lifetime collections |
+$1.22 |
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Origination, servicing, cost of funds |
−$0.12 |
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Profit on a typical deal |
+$0.10 |
Write-offs are already inside collections. Cost lines are example operating assumptions.
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A working checklist for the next credit committee
1. Can every live advance be joined from origination date to the latest payment and status?
2. Are vintages cut by funding month, and compared at the same months on book?
3. Are collection and loss rates on original funded amount, not shrinking outstanding?
4. Do you plot payment, collection, income, write-off, and delinquency mix, not just one “loss
rate”?
5. Does the same curve stack feed unit economics, so pricing and capital see the same story as
credit?
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Back to Monday morning. The 91% collection rate was not a lie. It was an average. January had already
done its job. June had not. The loan tape had both stories the whole time. Cohort analysis is simply the
decision to read them separately, and to let the curves, not the headline, tell you whether the next
dollar you originate is worth originating.
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From tape to schedule
Run this on the tape you already have.
Upload CSV, Excel, or Parquet. Vector turns it into cohort schedules, credit, FP&A, and
capital.
Digital CFO for MCA Lenders
Vector's MCA analytics library turns your loan tape into cohort schedules, vintage curves, and
per-deal unit economics, so credit, FP&A, and capital see the same numbers. Learn more →
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Keep reading
MCA factor rate & annualized
yield
Why the same 1.35 factor is a different return at 42 days
than at 10 months.
MCA pricing & capital
requirements
How expected loss, warehouse cost, and equity become a
factor.
MCA borrowing base: eligibility
& availability
Why delinquent and charged-off paper never sees the advance
rate.
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Sources & further reading
Experian, Vintage Analysis 101
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Vector, MCA borrowing base: eligibility &
availability
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Vector, MCA pricing & capital requirements
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Vector, MCA factor rate & annualized yield
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New York, NY 10170
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