Equifax (EFX) Other Accumulated Expenses (2009 - 2026)
Equifax's Other Accumulated Expenses was $544.7 million in Q3 2026, up 31.8% from $413.4 million a year earlier and up 11.0% from the prior quarter.
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Analysis
Equifax (EFX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Equifax came in at $427.4 million, up 6.0% from FY2024.
- Other Accumulated Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $403.2 million in FY2024 (+20.5%), $334.7 million in FY2023 (+12.8%), $296.6 million in FY2022 (-53.5%) and $638.2 million in FY2021 (+4.2%).
- The Q3 2026 figure marks the highest quarterly Other Accumulated Expenses since Q4 2021.
- Compared with a year earlier, Other Accumulated Expenses has increased for 13 straight quarters, with growth averaging 15.3% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q3 2026 (growth of 31.8%); the worst was Q3 2022 (a decline of 54.6%).
- Per Business Quant data, EFX's Other Accumulated Expenses in the three quarters before Q3 2026 was $490.5 million (Q2 2026), $412 million (Q1 2026) and $427.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 544.70 Mn |
| Jun 30, 2026 | 490.50 Mn |
| Mar 31, 2026 | 412.00 Mn |
| Dec 31, 2025 | 427.40 Mn |
| Sep 30, 2025 | 413.40 Mn |
| Jun 30, 2025 | 384.70 Mn |
| Mar 31, 2025 | 377.30 Mn |
| Dec 31, 2024 | 403.20 Mn |
| Sep 30, 2024 | 390.30 Mn |
| Jun 30, 2024 | 327.80 Mn |
| Mar 31, 2024 | 362.80 Mn |
| Dec 31, 2023 | 334.70 Mn |
| Sep 30, 2023 | 334.10 Mn |
| Jun 30, 2023 | 265.20 Mn |
| Mar 31, 2023 | 296.50 Mn |
| Dec 31, 2022 | 296.60 Mn |
| Sep 30, 2022 | 294.70 Mn |
| Jun 30, 2022 | 338.40 Mn |
| Mar 31, 2022 | 304.70 Mn |
| Dec 31, 2021 | 638.20 Mn |
API Access
Equifax Other Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "EFX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();