Equifax (EFX) Accumulated Expenses (2009 - 2026)
Equifax's Accumulated Expenses was $331 million in Q2 2026, up 22.7% from $269.7 million a year earlier but down 12.7% 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 $213.9 million (Q3 2021) and $379 million (Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 10.9% 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 Q2 2026 was $379 million (Q1 2026), $276.3 million (Q4 2025) and $298.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 213.90 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();