Equifax (EFX) Operating Expenses (2009 - 2026)
Equifax (EFX) recorded Operating Expenses of $1.39 billion in Q2 2026, up 13.0% from $1.23 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Equifax (EFX) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Equifax's Operating Expenses came in at $5.29 billion as of Jun 30, 2026, up 11.3% year-over-year; for FY2025, it was $4.98 billion, up 7.3% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.64 billion in FY2024 (+7.1%), $4.33 billion in FY2023 (+6.5%), $4.07 billion in FY2022 (+7.4%) and $3.79 billion in FY2021 (+9.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2019.
- On a year-over-year basis, Operating Expenses has increased for 25 consecutive quarters, with growth averaging 8.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 2.1% (Q4 2022) and 13.7% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.36 billion (Q1 2026), $1.27 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.35 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.14 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 379.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 442.60 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 1.39 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 456.62 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 509.40 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 3.69 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 599.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.21 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.00 Bn |
| Sep 30, 2021 | 949.70 Mn |
API Access
Equifax 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=operating-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();