Moodys (MCO) Intangibles (2009 - 2026)
Moodys' Intangibles was $1.69 billion in Q3 2026, down 11.6% from $1.92 billion a year earlier and down 3.1% from the prior quarter.
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Analysis
Moodys (MCO) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Moodys came in at $1.87 billion, down 1.3% from FY2024.
- Intangibles has now declined for four consecutive years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, Intangibles was $1.89 billion in FY2024 (-7.8%), $2.05 billion in FY2023 (-7.3%), $2.21 billion in FY2022 (-10.4%) and $2.47 billion in FY2021 (+35.3%).
- The Q3 2026 figure marks the lowest quarterly Intangibles since Q4 2019.
- Compared with a year earlier, Intangibles has declined for five straight quarters, with an average decline of 5.2% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q4 2021 (growth of 35.3%); the worst was Q3 2022 (a decline of 13.1%).
- Per Business Quant data, MCO's Intangibles in the three quarters before Q3 2026 was $1.75 billion (Q2 2026), $1.81 billion (Q1 2026) and $1.87 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 899.10 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 11.94 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 1.69 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 308.30 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 1.17 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 3.43 Bn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 1.85 Bn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 550.00 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 5.70 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 2.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.69 Bn |
| Jun 30, 2026 | 1.75 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.87 Bn |
| Sep 30, 2025 | 1.92 Bn |
| Jun 30, 2025 | 1.99 Bn |
| Mar 31, 2025 | 1.98 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 1.97 Bn |
| Jun 30, 2024 | 1.93 Bn |
| Mar 31, 2024 | 1.98 Bn |
| Dec 31, 2023 | 2.05 Bn |
| Sep 30, 2023 | 2.06 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 2.18 Bn |
| Dec 31, 2022 | 2.21 Bn |
| Sep 30, 2022 | 2.18 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.42 Bn |
| Dec 31, 2021 | 2.47 Bn |
API Access
Moodys Intangibles 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=intangibles&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();