Equifax (EFX) Other Operating Expenses (2009 - 2026)
Equifax's Other Operating Expenses came in at $963.4 million for Q2 2026, up 14.4% from $842 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Equifax (EFX) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Equifax reported Other Operating Expenses of $3.61 billion, up 10.1% year-over-year; for FY2025, it came in at $3.37 billion, up 5.5% from FY2024.
- Other Operating Expenses has increased in each of the last 14 years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $3.19 billion in FY2024 (+8.2%), $2.95 billion in FY2023 (+7.6%), $2.74 billion in FY2022 (+11.2%) and $2.46 billion in FY2021 (+15.6%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2009.
- Year-over-year, Other Operating Expenses has increased for 56 consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 3.6% (Q4 2022) to 15.5% (Q1 2022).
- Business Quant data shows EFX's Other Operating Expenses at $950.2 million (Q1 2026), $845.4 million (Q4 2025) and $846.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 130.92 Bn | 121.51 Bn | 2.98 Bn |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - |
| 10 | Cme | 106.61 Bn | 94.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 946.80 Mn |
| Jun 30, 2026 | 963.40 Mn |
| Mar 31, 2026 | 950.20 Mn |
| Dec 31, 2025 | 845.40 Mn |
| Sep 30, 2025 | 846.50 Mn |
| Jun 30, 2025 | 842.00 Mn |
| Mar 31, 2025 | 831.30 Mn |
| Dec 31, 2024 | 786.50 Mn |
| Sep 30, 2024 | 814.30 Mn |
| Jun 30, 2024 | 795.70 Mn |
| Mar 31, 2024 | 792.10 Mn |
| Dec 31, 2023 | 738.00 Mn |
| Sep 30, 2023 | 739.60 Mn |
| Jun 30, 2023 | 737.60 Mn |
| Mar 31, 2023 | 730.50 Mn |
| Dec 31, 2022 | 681.50 Mn |
| Sep 30, 2022 | 683.40 Mn |
| Jun 30, 2022 | 681.90 Mn |
| Mar 31, 2022 | 690.50 Mn |
| Dec 31, 2021 | 657.80 Mn |
API Access
Equifax Other Operating 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-operating-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();