Msci (MSCI) Intangibles (2009 - 2026)
Msci's Intangibles was $855.9 million in Q2 2026, down 1.5% from $869.19 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Msci (MSCI) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Msci came in at $832.5 million, down 8.3% from FY2024.
- Intangibles shows a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- In earlier years, Intangibles was $907.61 million in FY2024 (-5.1%), $956.23 million in FY2023 (+71.2%), $558.52 million in FY2022 (-5.9%) and $593.34 million in FY2021 (+152.8%).
- Quarterly Intangibles has moved between $536.13 million (Q3 2023) and $956.23 million (Q4 2023) over five years.
- Compared with a year earlier, Intangibles has declined for seven straight quarters, with growth averaging 3.9% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q2 2022 (growth of 176.5%); the worst was Q3 2025 (a decline of 8.8%).
- Per Business Quant data, MSCI's Intangibles in the three quarters before Q2 2026 was $851 million (Q1 2026), $832.5 million (Q4 2025) and $849.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 15.70 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.75 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 855.90 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 313.50 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 1.22 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.52 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 1.87 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 569.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.47 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 855.90 Mn |
| Mar 31, 2026 | 851.00 Mn |
| Dec 31, 2025 | 832.50 Mn |
| Sep 30, 2025 | 849.61 Mn |
| Jun 30, 2025 | 869.19 Mn |
| Mar 31, 2025 | 886.75 Mn |
| Dec 31, 2024 | 907.61 Mn |
| Sep 30, 2024 | 931.43 Mn |
| Jun 30, 2024 | 949.17 Mn |
| Mar 31, 2024 | 948.48 Mn |
| Dec 31, 2023 | 956.23 Mn |
| Sep 30, 2023 | 536.13 Mn |
| Jun 30, 2023 | 546.43 Mn |
| Mar 31, 2023 | 551.01 Mn |
| Dec 31, 2022 | 558.52 Mn |
| Sep 30, 2022 | 565.58 Mn |
| Jun 30, 2022 | 576.36 Mn |
| Mar 31, 2022 | 585.06 Mn |
| Dec 31, 2021 | 593.34 Mn |
| Sep 30, 2021 | 597.64 Mn |
API Access
Msci 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=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "MSCI", "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=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();