Equifax (EFX) Capital Expenditures (2009 - 2026)
Equifax's Capital Expenditures was $135 million in Q2 2026, up 10.5% from $122.2 million a year earlier and up 12.1% from the prior quarter.
Equifax (EFX) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Equifax's Capital Expenditures was $507.4 million through Jun 30, 2026, up 7.4% year-over-year; for FY2025, it came in at $481.4 million, down 5.9% from FY2024.
- Capital Expenditures has now declined for three consecutive years, though with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $511.5 million in FY2024 (-14.9%), $601.3 million in FY2023 (-3.7%), $624.5 million in FY2022 (+33.2%) and $469 million in FY2021 (+11.3%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures since Q2 2024.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with an average decline of 3.1% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2022 (growth of 57.1%); the worst was Q1 2025 (a decline of 18.7%).
- Per Business Quant data, EFX's Capital Expenditures in the three quarters before Q2 2026 was $120.4 million (Q1 2026), $130 million (Q4 2025) and $122 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 91.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 11.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 68.10 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 135.00 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 69.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 30.48 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 33.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 291.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 23.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.00 Mn |
| Mar 31, 2026 | 120.40 Mn |
| Dec 31, 2025 | 130.00 Mn |
| Sep 30, 2025 | 122.00 Mn |
| Jun 30, 2025 | 122.20 Mn |
| Mar 31, 2025 | 107.20 Mn |
| Dec 31, 2024 | 118.90 Mn |
| Sep 30, 2024 | 124.00 Mn |
| Jun 30, 2024 | 136.70 Mn |
| Mar 31, 2024 | 131.90 Mn |
| Dec 31, 2023 | 145.70 Mn |
| Sep 30, 2023 | 134.30 Mn |
| Jun 30, 2023 | 163.00 Mn |
| Mar 31, 2023 | 158.30 Mn |
| Dec 31, 2022 | 156.10 Mn |
| Sep 30, 2022 | 153.00 Mn |
| Jun 30, 2022 | 158.90 Mn |
| Mar 31, 2022 | 156.50 Mn |
| Dec 31, 2021 | 136.10 Mn |
| Sep 30, 2021 | 97.40 Mn |
Equifax Capital Expenditures 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=capital-expenditures&ticker=EFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();