Equifax (EFX) Acquisitions (2009 - 2023)
Equifax's Acquisitions was $74.1 million in FY2025.
Analysis
Equifax (EFX) Acquisitions (2009 - 2023) Analysis & Trends
From FY2009 onward, Equifax has reported Acquisitions for 16 years.
- Acquisitions shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Acquisitions since FY2020.
- Per Business Quant data, Acquisitions in earlier years was $283.8 million in FY2023 (-34.6%), $433.8 million in FY2022 (-85.2%) and $2.94 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 14.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 17.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 25.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 7.80 Mn |
| Sep 30, 2023 | 271.70 Mn |
| Mar 31, 2023 | 4.30 Mn |
| Dec 31, 2022 | -3.70 Mn |
| Sep 30, 2022 | 326.10 Mn |
| Jun 30, 2022 | -300,000.00 |
| Mar 31, 2022 | 111.70 Mn |
| Dec 31, 2021 | 1.83 Bn |
| Sep 30, 2021 | 247.30 Mn |
| Jun 30, 2021 | -400,000.00 |
| Mar 31, 2021 | 862.00 Mn |
| Sep 30, 2020 | 13.30 Mn |
| Mar 31, 2020 | 48.10 Mn |
| Dec 31, 2019 | 38.10 Mn |
| Jun 30, 2019 | 210.00 Mn |
| Mar 31, 2019 | 24.80 Mn |
| Dec 31, 2018 | 22.50 Mn |
| Sep 30, 2018 | 85.10 Mn |
| Jun 30, 2018 | 16.80 Mn |
| Mar 31, 2018 | 13.90 Mn |
API Access
Equifax Acquisitions 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=acquisitions&ticker=EFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();