Equifax (EFX) EBITDA (2009 - 2026)
Equifax (EFX) recorded EBITDA of $505.6 million in Q2 2026, up 3.2% from $490.1 million a year earlier and up 7.0% from the prior quarter.
Equifax (EFX) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Equifax's EBITDA came in at $1.9 billion as of Jun 30, 2026, up 6.3% year-over-year; for FY2025, it came in at $1.82 billion, up 5.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.72 billion in FY2024 (+10.9%), $1.55 billion in FY2023 (-4.4%), $1.62 billion in FY2022 (-0.2%) and $1.63 billion in FY2021 (+51.3%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased for 12 consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 41.4% in Q4 2021, against a decline of 24.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $472.5 million (Q1 2026), $470.3 million (Q4 2025) and $449.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.12 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.17 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 537.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 444.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 505.60 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 418.50 Mn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 212.17 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 214.10 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 6.59 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 505.60 Mn |
| Mar 31, 2026 | 472.50 Mn |
| Dec 31, 2025 | 470.30 Mn |
| Sep 30, 2025 | 449.40 Mn |
| Jun 30, 2025 | 490.10 Mn |
| Mar 31, 2025 | 412.20 Mn |
| Dec 31, 2024 | 461.80 Mn |
| Sep 30, 2024 | 420.50 Mn |
| Jun 30, 2024 | 449.10 Mn |
| Mar 31, 2024 | 391.30 Mn |
| Dec 31, 2023 | 403.90 Mn |
| Sep 30, 2023 | 403.10 Mn |
| Jun 30, 2023 | 389.00 Mn |
| Mar 31, 2023 | 357.60 Mn |
| Dec 31, 2022 | 320.50 Mn |
| Sep 30, 2022 | 385.80 Mn |
| Jun 30, 2022 | 446.50 Mn |
| Mar 31, 2022 | 471.70 Mn |
| Dec 31, 2021 | 386.90 Mn |
| Sep 30, 2021 | 391.70 Mn |
Equifax EBITDA 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=ebitda&ticker=EFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();