Quality Deep Dive · 2026

The income defect.

Post-closing QC keeps delivering the same verdict: income/employment has held the top of the critical-defect table in all but two quarters since late 2024, and income-related issues help drive buybacks that average $32,000 apiece. Most of it is preventable while the loan is still open. Here's the data, the anatomy, and the fix.

July 23, 2026 11 min read
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Every quarter, thousands of closed loans get pulled for post-closing quality-control review, and the results keep pointing the same direction. Not appraisals. Not assets. Not closing docs. The category that keeps finding the top of the critical-defect table — first place in all but two quarters since late 2024 — is the one this industry considers its bread and butter: income and employment.1,2

We've written about where income review costs hoursthe income calculation bottleneck. This brief is about where it costs money: the defects that survive underwriting, surface in QC or an agency audit, and turn into remediation, insurability problems, or a repurchase demand averaging north of $32,000 per loan.3

27%
of all critical defects were income/employment findings, Q3 2025 (ACES)1
+48%
the single-quarter jump in income/employment defect share (ACES)1
1in67
reviewed loans carried a critical defect across CY 2025 — a 1.50% rate (ACES)2
$32K+
average cost to repurchase a defective loan (STRATMOR / Reggora study)3
57%
of GSE buybacks driven by income- and appraisal-related issues3
4×
less likely to carry defects with Freddie Mac's own digital tools, per Freddie4

The defect scoreboard: what post-closing QC actually finds

The cleanest industry-wide window into loan quality is ACES' quarterly benchmarking of lender post-closing QC audits. Across calendar 2025 the critical defect rate averaged 1.50% — statistically flat against 2024's 1.52%, and roughly one defective file in every 67 reviewed.2 The headline number hides the drama underneath: quarter to quarter, the mix of what goes wrong swings hard. Step through 2025 below.

1.51%
critical defect rate
Income / Employment18.45%
Legal / Regulatory / Compliance16.24%

Eligibility findings were also elevated (15.87%) as borrowers stretched to qualify in a tight affordability market.

Critical defect rate and leading defect categories, per ACES Mortgage QC Industry Trends benchmarking of lender post-closing audits.1,2 Category percentages are shares of all critical defects.

Income sits at the top of the table — again

In Q3 2025, income/employment findings spiked 47.6% in a single quarter — from 18.45% to 27.24% of all critical defects — making it the largest category by a wide margin.1 Q4 improved: compliance overtook it at the top, which ACES notes was only the second time income has ceded first place since Q4 2024 — and it still held over a fifth of all critical findings.2 And this isn't one vendor's dataset talking: Fannie Mae's own quality-control reporting lists DTI-related issues — missing documentation, incorrect income calculation, improper payment calculation — among its top defect drivers, with self-employment and rental income historically the most defect-prone calculations in its random QC sample.5,7

"The increase was driven primarily by concentrated deterioration in income- and compliance-related findings, reinforcing the importance of documentation integrity."

— Nick Volpe, EVP, ACES Quality Management, on the Q3 2025 results1

The takeaway

Income defects aren't an edge case. In post-closing QC benchmarking, income/employment has been the No. 1 critical-defect category in all but two quarters since late 2024 — and it's the same calculation your team performs on every file.

What one defect costs when it's caught late

A defect caught in underwriting costs a condition. A defect caught in post-closing QC costs remediation. A defect caught by the agency costs real money: a study of GSE repurchase activity by STRATMOR and Reggora put the average cost of a buyback at more than $32,000, with typical instances near $40,000, at an average repurchase rate of 49 basis points — and found income- and appraisal-related issues drove 57% of the buybacks in the period.3 Slide your annual volume to see what that exposure looks like at your shop.

2,000 loans / yr
9.8
expected buybacks at the 49 bps study-average rate
$316K
annual repurchase exposure at $32,288 per loan
$180K
the income- & appraisal-driven share (57%)
Illustrative model using the STRATMOR / Reggora study averages (49 bps repurchase rate; $32,288 average cost; 57% income- and appraisal-driven).3 Your rate varies with product mix and QC rigor — that's the point.

That's before the costs no study captures: the underwriter hours burned on remediation, the agency scrutiny that follows a pattern of findings, and the investor relationships that quietly reprice your paper. Freddie Mac's data points the other direction too — loans run through its digital tools are on average four times less likely to carry defects.4 Quality has become the measurable differentiator.

Anatomy of an income defect

Fannie Mae's Quality Insider series is unusually candid about where income and DTI defects come from. The pattern isn't exotic fraud — it's ordinary files failing quiet checks. Five failure modes recur throughout its reporting:5,6,7

01

The missing document

The calculation was fine — the file can't prove it. A paystub short of the required period, a missing schedule, an expired VOE. Lack of documentation has become a leading defect driver in Fannie Mae's QC results.

02

The wrong method

Incorrect income calculation — the top of Fannie's DTI defect list. Semi-monthly booked as biweekly, overtime annualized without a trend check, a bonus averaged over the wrong window.

03

The debt that didn't make it

Improper monthly payment calculation on the other side of the DTI — a liability missed, misread, or entered once and never reconciled against the credit report and statements.

04

The rental that wasn't

Rental income and rental-loss miscalculation is a perennial top finding in random QC reviews — Schedule E, Fair Rental Days, and lease treatment reconciled wrong or not at all.

05

The self-employed maze

Complex calculations from self-employment have historically topped Fannie Mae's random QC sample — returns, add-backs, distributions, and business trend judged across documents that rarely agree on the first pass.

Notice what most of these have in common: they aren't judgment failures — they're reconciliation failures. A figure that didn't get traced to a document; a document that didn't get checked against its siblings. Even the genuinely judgment-heavy cases, like self-employed stability analysis, begin with documents that were never fully reconciled — which is exactly why so much of this is preventable in-flight and expensive after the fact.

The refi stress test

The refi comeback offered a preview of what happens to quality when volume returns. Year over year, refinances nearly doubled their share of QC reviews in CY 2025 — from 11.14% to 21.04% — but their share of critical defects more than doubled, from 15.30% to 32.20%.2 Defects concentrate wherever teams move fastest on files they assume are easy. FHA files told a similar story, carrying about 31% of critical defects — persistently above their share of reviews.1,2

Refi share of QC reviews
CY 2024
11.1%
CY 2025
21.0%
Refi share of critical defects
CY 2024
15.3%
CY 2025
32.2%
Refinance share of reviews vs. share of critical defects, CY 2024 vs. CY 2025, per ACES.2 When volume surges, defect share grows faster than review share.

The lesson for 2026 planning is uncomfortable but useful: your defect rate is not a fixed property of your team. It's a property of your throughput. Any process that only stays accurate at low volume isn't accurate — it's idle.

First-pass yield: the fix is upstream

Post-closing QC is a smoke detector, not a sprinkler — by the time it finds the income defect, the loan is closed, sold, and priced. The economic answer is to move the same checks upstream, where a defect is still just a condition. That's a workflow argument, not a staffing argument:

This is also where AI belongs in the quality story — not deciding loans, but reading every page, tracing every figure, and refusing to let two documents disagree in silence. A cited, auditable income calculation survives QC by construction — and documented, auditable AI use is exactly what the new GSE AI-governance frameworks now require lenders to be able to demonstrate.

Frequently asked questions

A post-closing QC finding serious enough to make the loan ineligible as delivered — the kind that triggers remediation, insurability problems, or a repurchase demand. Across CY 2025 the benchmarked critical defect rate was 1.50% of reviewed loans — about one in 67 files.2
Income and employment leads more often than anything else — per ACES, it has ceded first place only twice since Q4 2024. It reached 27.24% of all critical defects in Q3 2025 after a 47.6% single-quarter jump,1,2 and Fannie Mae's own QC reporting lists missing documentation and incorrect income calculation among its top defect drivers, with self-employed and rental income the hardest cases.5,7
A STRATMOR / Reggora study of GSE repurchase activity found an average cost above $32,000 per buyback — typical instances near $40,000 — at an average 49 bps repurchase rate, with income- and appraisal-related issues driving 57% of buybacks.3 Income accuracy is a margin issue, not just a compliance issue.
Move QC's checks upstream: prove the documentation set is complete, calculate by the correct agency method, reconcile every figure across paystubs, W-2s, returns, and VOEs, and surface contradictions while the borrower is still responsive. Freddie Mac reports loans using its own digital tools are on average 4× less likely to carry defects (results vary by lender and loan mix)4 — AI-assisted review applies the same upstream-check principle to the whole file, with page-level citations.

Sources

Defect statistics are drawn from the published benchmarking and agency materials below. The repurchase-exposure figures in this article are an illustrative model built on the cited study averages — your shop's rate varies with product mix, channels, and QC rigor.

  1. ACES Quality Management — Q3 2025 Mortgage QC Industry Trends ReportCritical defect rate 1.79% (up 18.5% from 1.51%); income/employment findings 27.24% of critical defects (up 47.6% from 18.45%); compliance 18.97%; FHA 31.10% of defects; Nick Volpe commentary.
  2. ACES Quality Management — Q4 & CY 2025 Mortgage QC Industry Trends ReportQ4 rate 1.38% (annual low); CY 2025 average 1.50% vs. 1.52% in 2024; income/employment 21.52% in Q4 — off the top spot for only the second time since Q4 2024; refi review share 11.14%→21.04% and refi defect share 15.30%→32.20% year over year (CY 2024→CY 2025); eligibility +291.6% YoY.
  3. National Mortgage News — The leading drivers and costs of GSE repurchase requests (STRATMOR / Reggora study)Average repurchase cost $32,288 (typical instances near $40,000); average repurchase rate 49 bps (Apr 2023–Oct 2024); income- and appraisal-related issues drove 57% of buybacks.
  4. Freddie Mac — How Freddie Mac Is Powering Efficiency and Cost SavingsLoans using Freddie Mac digital tools are on average 4× less likely to carry defects.
  5. Fannie Mae — Quality Insider: Understand Top Defects to Help Strengthen Loan Quality (Sept 2025)Top defect reasons relate to DTI: lack of documentation, incorrect income calculation, and improper monthly payment calculation.
  6. Fannie Mae — Quality Insider: Minimize Defects With Fannie Mae's Income Calculator (April 2025)Complex self-employment calculations are historically top defects in Fannie Mae's random QC sample; the free Income Calculator targets exactly these errors.
  7. Fannie Mae — Quality Insider: Solving Rental Income Challenges (Aug 2025)Miscalculation of rental income and rental loss continues to be a top issue in random loan-quality reviews; documentation gaps are a growing driver.
  8. Fannie Mae — Selling Guide, B3-3 Income AssessmentThe agency methods the calculations must follow: pay frequency, YTD trend analysis, minimum history, declining-income treatment, rental and self-employed requirements.
Catch it while it's still a condition

Defects are cheapest before they exist.

Power Underwriter reconciles income across every document in the file — paystubs, W-2s, returns, VOEs — with page-level citations, before the loan ever reaches QC. Bring the file type that scares your QC team most.

Power Underwriter Research

AI underwriting for mortgage brokers & lenders

We build the AI underwriting assistant that reads complete loan files, calculates income and assets, reviews conditions, and generates structured reports — without leaving your loan origination system. This brief draws on ACES benchmarking, Fannie Mae Quality Insider guidance, and industry repurchase research; the exposure model is transparently illustrative and every figure is traceable to the numbered sources above.