Equifax (EFX) Depreciation & Amortization (CF) (2009 - 2026)
Equifax (EFX) posted Depreciation & Amortization (CF) of $196.4 million for Q3 2026, up 6.1% from $185.1 million a year earlier and up 2.6% from the prior quarter.
Equifax (EFX) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation & Amortization (CF) at Equifax was $758.7 million, up 6.2% year-over-year; for FY2025, it came in at $726.9 million, up 6.8% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for ten consecutive years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In prior years, Equifax's Depreciation & Amortization (CF) was $680.6 million in FY2024 (+9.8%), $619.8 million in FY2023 (+9.0%), $568.6 million in FY2022 (+16.1%) and $489.6 million in FY2021 (+22.6%).
- The Q3 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2009.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased in each of the last 43 quarters, with growth averaging 6.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation & Amortization (CF) ran from 4.8% in Q1 2026 to 29.4% in Q4 2021.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $191.4 million (Q2 2026), $184.8 million (Q1 2026) and $186.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn | 124.00 Mn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn | 6.50 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn | 66.30 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn | 196.40 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn | 47.12 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn | 53.50 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - | 309.00 Mn |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - | 28.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 196.40 Mn |
| Jun 30, 2026 | 191.40 Mn |
| Mar 31, 2026 | 184.80 Mn |
| Dec 31, 2025 | 186.10 Mn |
| Sep 30, 2025 | 185.10 Mn |
| Jun 30, 2025 | 179.30 Mn |
| Mar 31, 2025 | 176.40 Mn |
| Dec 31, 2024 | 173.70 Mn |
| Sep 30, 2024 | 173.40 Mn |
| Jun 30, 2024 | 166.90 Mn |
| Mar 31, 2024 | 166.60 Mn |
| Dec 31, 2023 | 158.80 Mn |
| Sep 30, 2023 | 156.70 Mn |
| Jun 30, 2023 | 152.10 Mn |
| Mar 31, 2023 | 152.20 Mn |
| Dec 31, 2022 | 144.50 Mn |
| Sep 30, 2022 | 142.90 Mn |
| Jun 30, 2022 | 141.90 Mn |
| Mar 31, 2022 | 139.30 Mn |
| Dec 31, 2021 | 134.70 Mn |
Equifax Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=EFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();