Moodys (MCO) Acquisitions (2009 - 2026)
Moodys (MCO) reported Acquisitions of $23 million for Q1 2026, down 89.7% from $223 million a year earlier.
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Analysis
Moodys (MCO) Acquisitions (2009 - 2026) Analysis & Trends
For FY2025, Moodys posted Acquisitions of $227 million, up 2.7% from FY2024.
- Acquisitions has a five-year compound annual growth rate of -24.0% (FY2020 to FY2025).
- By year, Acquisitions came in at $221 million in FY2024, $5 million in FY2023 (-94.8%), $97 million in FY2022 (-95.5%) and $2.18 billion in FY2021 (+142.9%).
- Five-year quarterly Acquisitions spans a low of $2 million in Q4 2023 and a high of $1.89 billion in Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 134.88 Bn | 125.46 Bn | 2.98 Bn | 14.00 Mn |
| 2 | Moodys | 85.29 Bn | 77.57 Bn | 1.67 Bn | 1.00 Mn |
| 3 | Msci | 44.77 Bn | 43.26 Bn | 739.80 Mn | 115.90 Mn |
| 4 | Verisk Analytics | 26.39 Bn | 21.03 Bn | 572.90 Mn | - |
| 5 | Equifax | 21.79 Bn | 21.06 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.99 Bn | 12.81 Bn | - | 25.00 Mn |
| 7 | Factset Research Systems | 12.23 Bn | 11.08 Bn | 308.40 Mn | - |
| 8 | Morningstar | 8.43 Bn | 6.33 Bn | 423.90 Mn | - |
| 9 | Mastercard | 553.60 Bn | 513.53 Bn | - | - |
| 10 | Cme | 110.26 Bn | 98.36 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 24.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 233.00 Mn |
| Dec 31, 2024 | 111.00 Mn |
| Sep 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 14.00 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | -2.00 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Dec 31, 2022 | 74.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 9.00 Mn |
| Mar 31, 2022 | 83.00 Mn |
| Dec 31, 2021 | 419.00 Mn |
| Sep 30, 2021 | 1.89 Bn |
| Mar 31, 2021 | 138.00 Mn |
| Dec 31, 2020 | 198.00 Mn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "MCO", "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=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();