Moodys (MCO) Acquisitions (2009 - 2026)
Moodys (MCO) reported Acquisitions of $2 million for Q3 2026, down 66.7% from $6 million a year earlier but up 100.0% from the prior quarter.
Powered by 
Analysis
Moodys (MCO) Acquisitions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Moodys' Acquisitions came in at $32 million, down 90.9% year-over-year; for FY2025, it was $246 million, up 9.3% from FY2024.
- Acquisitions has a five-year compound annual growth rate of -22.8% (FY2020 to FY2025).
- By year, Acquisitions came in at $225 million in FY2024, $8 million in FY2023 (-95.3%), $171 million in FY2022 (-93.0%) and $2.45 billion in FY2021 (+172.6%).
- Five-year quarterly Acquisitions spans a low of -$2 million in Q3 2023 and a high of $419 million in Q4 2021.
- Year over year, Acquisitions has now declined in each of the last five quarters, with an average decline of 79.2% over the last five quarters.
- The high point for year-over-year Acquisitions in five years was Q4 2021 (growth of 111.6%); the low point was Q3 2022 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1 million (Q2 2026), $24 million (Q1 2026) and $5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 115.90 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 182.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 2.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 25.60 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | -200,000.00 |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | - |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | - |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.00 Mn |
| 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 |
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();