Moodys (MCO) Enterprise Value (2009 - 2026)
Moodys (MCO) posted Enterprise Value of $76.83 billion for Q3 2026, down 7.3% from $82.9 billion a year earlier and down 0.3% from the prior quarter.
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Analysis
Moodys (MCO) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Enterprise Value at Moodys was $71.37 billion, down 5.4% year-over-year; for FY2025, it was $88.28 billion, up 7.1% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In prior years, Moodys' Enterprise Value was $82.39 billion in FY2024 (+19.0%), $69.24 billion in FY2023 (+40.3%), $49.35 billion in FY2022 (-30.1%) and $70.62 billion in FY2021 (+36.3%).
- Quarterly Enterprise Value has run from a low of $42.97 billion in Q3 2022 to a high of $88.28 billion in Q4 2025 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last three quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2024, with growth of 48.3%; the weakest was Q3 2022, with a decline of 32.7%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $77.09 billion (Q2 2026), $74.85 billion (Q1 2026) and $88.28 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.83 Bn |
| Jun 30, 2026 | 77.09 Bn |
| Mar 31, 2026 | 74.85 Bn |
| Dec 31, 2025 | 88.28 Bn |
| Sep 30, 2025 | 82.90 Bn |
| Jun 30, 2025 | 87.85 Bn |
| Mar 31, 2025 | 81.73 Bn |
| Dec 31, 2024 | 82.39 Bn |
| Sep 30, 2024 | 82.94 Bn |
| Jun 30, 2024 | 74.11 Bn |
| Mar 31, 2024 | 69.39 Bn |
| Dec 31, 2023 | 69.24 Bn |
| Sep 30, 2023 | 55.94 Bn |
| Jun 30, 2023 | 61.64 Bn |
| Mar 31, 2023 | 54.12 Bn |
| Dec 31, 2022 | 49.35 Bn |
| Sep 30, 2022 | 42.97 Bn |
| Jun 30, 2022 | 48.39 Bn |
| Mar 31, 2022 | 60.59 Bn |
| Dec 31, 2021 | 70.62 Bn |
API Access
Moodys Enterprise Value 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=enterprise-value&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();