Equifax (EFX) Accumulated Expenses (2009 - 2026)
Equifax's Accumulated Expenses was $300.7 million in Q3 2026, up 0.7% from $298.7 million a year earlier but down 9.2% from the prior quarter.
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Analysis
Equifax (EFX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Equifax came in at $276.3 million, up 10.0% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $251.1 million in FY2024 (+2.4%), $245.1 million in FY2023 (+7.0%), $229 million in FY2022 (-3.6%) and $237.5 million in FY2021 (-5.7%).
- Quarterly Accumulated Expenses has moved between $221.5 million (Q3 2022) and $379 million (Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 11.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2026 (growth of 34.7%); the worst was Q2 2024 (a decline of 12.1%).
- Per Business Quant data, EFX's Accumulated Expenses in the three quarters before Q3 2026 was $331 million (Q2 2026), $379 million (Q1 2026) and $276.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 300.70 Mn |
| Jun 30, 2026 | 331.00 Mn |
| Mar 31, 2026 | 379.00 Mn |
| Dec 31, 2025 | 276.30 Mn |
| Sep 30, 2025 | 298.70 Mn |
| Jun 30, 2025 | 269.70 Mn |
| Mar 31, 2025 | 281.40 Mn |
| Dec 31, 2024 | 251.10 Mn |
| Sep 30, 2024 | 263.00 Mn |
| Jun 30, 2024 | 238.40 Mn |
| Mar 31, 2024 | 306.20 Mn |
| Dec 31, 2023 | 245.10 Mn |
| Sep 30, 2023 | 267.10 Mn |
| Jun 30, 2023 | 271.10 Mn |
| Mar 31, 2023 | 282.90 Mn |
| Dec 31, 2022 | 229.00 Mn |
| Sep 30, 2022 | 221.50 Mn |
| Jun 30, 2022 | 224.60 Mn |
| Mar 31, 2022 | 264.50 Mn |
| Dec 31, 2021 | 237.50 Mn |
API Access
Equifax 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=accumulated-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();