Moodys (MCO) Purchase of Investments (2009 - 2026)
Moodys (MCO) posted Purchase of Investments - Total of $91 million for Q3 2026, up 127.5% from $40 million a year earlier and up 152.8% from the prior quarter.
Moodys (MCO) Purchase of Investments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Purchase of Investments - Total at Moodys was $195 million, up 4.8% year-over-year; for FY2025, it came in at $188 million, down 71.1% from FY2024.
- Annual Purchase of Investments - Total shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Moodys' Purchase of Investments - Total was $651 million in FY2024 (+355.2%), $143 million in FY2023 (-41.9%), $246 million in FY2022 (+43.9%) and $171 million in FY2021 (-5.5%).
- The Q3 2026 figure stands as the highest quarterly Purchase of Investments - Total since Q3 2024.
- On a year-over-year basis, Purchase of Investments - Total increased in three of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Purchase of Investments - Total in the past five years was Q3 2024, with growth of 930.8%; the weakest was Q4 2022, with a decline of 94.1%.
- According to Business Quant data, Purchase of Investments - Total for the three prior quarters was $36 million (Q2 2026), $38 million (Q1 2026) and $30 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investments Purchased (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 132.72 Bn | 128.33 Bn | 2.98 Bn | - |
| 2 | Moodys | 83.35 Bn | 76.42 Bn | 1.50 Bn | 91.00 Mn |
| 3 | Msci | 44.14 Bn | 42.62 Bn | 739.80 Mn | - |
| 4 | Verisk Analytics | 25.49 Bn | 20.13 Bn | 572.90 Mn | - |
| 5 | Equifax | 21.35 Bn | 20.74 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.61 Bn | 12.59 Bn | - | - |
| 7 | Factset Research Systems | 11.68 Bn | 10.53 Bn | 308.40 Mn | 35.75 Mn |
| 8 | Morningstar | 8.44 Bn | 6.34 Bn | 423.90 Mn | 3.60 Mn |
| 9 | Mastercard | 542.86 Bn | 502.77 Bn | - | 66.00 Mn |
| 10 | Cme | 109.27 Bn | 97.61 Bn | - | 7.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.00 Mn |
| Jun 30, 2026 | 36.00 Mn |
| Mar 31, 2026 | 38.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 40.00 Mn |
| Jun 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 41.00 Mn |
| Dec 31, 2024 | 28.00 Mn |
| Sep 30, 2024 | 536.00 Mn |
| Jun 30, 2024 | 37.00 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 38.00 Mn |
| Sep 30, 2023 | 52.00 Mn |
| Jun 30, 2023 | 8.00 Mn |
| Mar 31, 2023 | 45.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 62.00 Mn |
| Jun 30, 2022 | 136.00 Mn |
| Mar 31, 2022 | 46.00 Mn |
| Dec 31, 2021 | 34.00 Mn |
Moodys Purchase of Investments 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=purchase-of-investments&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-investments", "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=purchase-of-investments&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();