The Subprime Lending Calendar: Why Some Months Boom and Others Go Bust

What SEC filings, IRS data, and decades of lending experience reveal about payday, car title, installment, and line-of-credit seasonality.

By Jer Ayles
Trihouse Consulting | TheBusinessOfLending.com

Most experienced lenders know the feeling.

January starts strong. February arrives, tax refunds begin hitting customers' bank accounts, and something changes. Applications may slow, existing borrowers pay off loans, and outstanding receivables begin shrinking.

Then, as the year progresses, loan demand starts building again.

By the fourth quarter, many lenders are dealing with an entirely different business environment.

Is this simply industry folklore, or is there actual evidence supporting predictable seasonal patterns in subprime consumer lending?

There is more evidence than you might think.

In researching this question, I reviewed IRS statistics, Consumer Financial Protection Bureau (CFPB) studies, and historical SEC filings from consumer lending companies.

What emerged was a consistent picture: consumer lending is seasonal, tax refunds are an important driver, and the second half of the year frequently looks very different from the first.

But there is a catch.

The available evidence does not establish a single, reliable month-by-month seasonal index for every payday, car title, installment, and line-of-credit lender operating in the United States.

That distinction matters. It is the difference between recognizing an industry pattern and building a defensible operating forecast.

The Evidence: Lenders Have Been Telling the SEC This for Decades

One of the strongest pieces of evidence comes from the lenders themselves.

In a 2009 Form 10-K, publicly traded payday lender First Cash Financial Services described historically strong payday loan demand in January and during the fourth calendar quarter.

The company also described declining demand during the remainder of the first quarter and early second quarter as borrowers received income tax refunds. Its loss ratios historically tended to be higher in the second and third quarters. [1]

That's not a recent theory. It was a formal disclosure based on years of lending operations.

And First Cash wasn't alone.

Advance America described a somewhat different quarterly pattern in its historical SEC filings, reporting stronger payday demand during the third and fourth quarters and weaker demand during the first quarter. [2]

Notice the distinction.

One operator specifically identified January as a strong month before refund-driven weakness set in. Another described the first quarter as generally its weakest.

Both observations can be true.

A strong January doesn't necessarily produce a strong first quarter when February and March weaken.

The pattern also extends beyond traditional payday lending.

OneMain Holdings has described seasonal consumer lending demand, with the first quarter generally weaker and demand increasing later in the year. The company also recognizes that economic conditions can disrupt historical patterns. [3]

These disclosures are company-specific, not a nationally representative statistical sample.

Nevertheless, when multiple lending companies independently describe similar patterns across many years, those observations deserve serious consideration.

The Tax Refund Effect: Hundreds of Billions of Dollars Entering Household Accounts

If you want to understand subprime lending seasonality, start with tax refunds.

That is an enormous seasonal movement of money.

Under the PATH Act, the IRS cannot release refunds associated with returns claiming the Earned Income Tax Credit or Additional Child Tax Credit before February 15.

This creates an important difference between January and early February versus late February and March for eligible refund recipients. [5]

Think about what this means for a consumer with limited savings, high credit card utilization, and little access to conventional credit.

In January, that borrower might need a few hundred dollars for an unexpected expense.

In March, the same borrower might receive several thousand dollars from a tax refund.

For lenders, several outcomes become plausible:

• Existing borrowers may repay loans early.
• Some customers may temporarily avoid new borrowing.
• Collections may improve as household liquidity increases.
• Outstanding receivables may decline even when new lending continues.

These are reasonable operating hypotheses. IRS data alone do not tell us exactly how many payday or title loans are avoided or repaid because of refunds.

Tax season can potentially influence both new originations and repayment activity.

A lender measuring only funded loans may miss half the story.

The 12-Month Lending Calendar: My Working Assessment

Based on the SEC disclosures, IRS refund patterns, and the structure of these lending products, here is my working interpretation of the year.

This is a directional operating hypothesis, not a measured national monthly origination index.

Research qualification: These assessments are directional, not independently measured monthly national loan volumes.

My greatest confidence is in the broad quarterly pattern, not the exact ranking of individual months.

March is a reasonable candidate for a weak origination month. But available national product-level evidence is insufficient to declare it the weakest month for every lender.

Likewise, a strong fourth quarter does not automatically justify increasing advertising or changing underwriting standards.

Not All Subprime Loan Products Follow the Same Calendar

Payday Loans

Single-payment payday loans are closely connected to paycheck timing and short-term liquidity needs.

CFPB research found that more than 80% of payday loans in its studied portfolios were rolled over or followed by another loan within 14 days. [6]

That means one borrower may generate multiple funded transactions within a relatively short period.

Operators should distinguish new customer demand from repeat borrowing and refinancing.

Car Title Loans

Title loans introduce another dimension: the borrower has pledged a vehicle as collateral.

In a 2016 study, the CFPB found substantial same-day reborrowing among single-payment vehicle title borrowers. [7]

Refund-season cash inflows could potentially support more complete payoffs, but the national magnitude remains unverified.

Installment Loans

Installment loans distribute repayment over multiple scheduled payments.

An installment lender may experience slower new originations while receiving substantial principal and finance-charge payments from earlier loan vintages.

Its cash-flow pattern therefore depends on the existing portfolio as well as current customer demand.

Lines of Credit

For revolving credit, an existing borrower may draw additional funds without opening a new account.

Operators should therefore measure new accounts, repeat draws, utilization, and repayments independently.

Five Operating Mistakes Seasonality Can Expose

1. Treating Every Month as Financially Identical

Many operators divide annual growth targets by 12 and expect relatively consistent monthly results.

A weak March might be normal seasonality, an underwriting issue, a marketing problem, or some combination.

Recommendation: Establish monthly targets using comparable historical performance instead of equal allocations.

2. Mistaking Lower Receivables for Lower Customer Demand

Suppose your company funds $900,000 in principal during March but collects $1.1 million in principal.

Outstanding principal declines by $200,000, before other adjustments.

That doesn't mean originations disappeared. It means principal collections exceeded disbursements.

Recommendation: Track funded principal, principal collected, early payoffs, and ending balances separately.

3. Ignoring Seasonality in Delinquency Analysis

Historical corporate filings identify seasonal variations in loss ratios and delinquency.

But changes in loan age, product mix, and borrower composition can affect aggregate delinquency rates.

Recommendation: Review first-payment defaults, 30-day and 60-day delinquency, charge-offs, and recoveries by loan vintage.

4. Spending the Same Marketing Dollars Every Month

If demand changes seasonally, acquisition economics may also change.

But lower demand does not automatically mean marketing should be reduced. Competitive intensity and conversion rates also matter.

Recommendation: Compare acquisition cost, funded conversion, and subsequent credit performance by calendar month.

5. Failing to Prepare for Seasonal Capital Requirements

In a high-origination month, a lender may need additional funding even as revenue increases.

During periods of unusually high principal repayments, cash can increase while the portfolio contracts.

Recommendation: Build a rolling 13-week cash forecast covering disbursements, principal collections, collected finance charges, expenses, and credit losses.

What I Would Do If I Were Operating a Lending Portfolio Today

I would not begin by purchasing another piece of software.

I'd start by asking my accounting and operations teams for five years of monthly portfolio records, if available.

Not merely balances or revenue.

I would want funded loan counts, unique new borrowers, repeat borrowers, principal funded, early payoffs, collections, and losses, separated by product.

Then I would compare January with January, March with March, and October with October.

I'd adjust for new stores, closed stores, pricing changes, regulatory changes, and major shifts in underwriting.

Next, I would calculate a seasonal index for each key metric.

If March consistently measured 82 on an index where the monthly baseline equals 100, that would imply 18% below the modeled baseline.

The number 82 is illustrative, not an industry statistic.

And what if your lender doesn't follow the traditional pattern?

That's valuable information too.

My Bottom Line

The evidence is persuasive that consumer lending seasonality is real.

SEC disclosures from payday and installment lenders describe recurring changes in loan demand, balances, and credit performance.

IRS statistics document the enormous scale of seasonal refund cash flows.

CFPB research explains why repeat borrowing and product structures complicate volume comparisons.

But we still lack a reliable national month-by-month dataset establishing precise seasonal origination changes for all four high-APR loan products.

I am highly confident that a broad seasonal pattern exists. I am considerably less confident about exact monthly changes without seeing the portfolio data.

If your business slows every March, perhaps that is normal.

But if your company slows significantly more than comparable competitors, that's another problem worth investigating.

And if November produces record originations but disproportionate losses, celebrating that record month may be premature.

The objective isn't simply to fund more loans during busy months. It is to earn more money, after losses and operating costs, throughout the entire year.

That's the business of lending.

Jer Ayles
Trihouse Consulting
TheBusinessOfLending.com
Jer@TheBusinessOfLending.com

Sources & Evidence