Equifax (EFX) Other Operating Expenses (2009 - 2026)
Equifax (EFX) reported Other Operating Expenses of -$1.7 million for Q1 2026, compared with -$1.8 million a year earlier.
Equifax (EFX) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Equifax's Other Operating Expenses came in at -$7.6 million; for FY2025, it was -$7.4 million.
- By year, Other Operating Expenses came in at -$10.8 million in FY2024, -$9 million in FY2023, -$8.5 million in FY2022 and -$9.2 million in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Other Operating Expenses since Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
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 |
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_KEY
import 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();