Msci (MSCI) Amortization - Intangibles (2009 - 2026)
Msci's Amortization - Intangibles came in at $45.2 million for Q3 2026, up 10.2% from $41 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Msci (MSCI) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Msci reported Amortization - Intangibles of $171.78 million, up 0.3% year-over-year; for FY2025, it was $169.48 million, up 3.3% from FY2024.
- Amortization - Intangibles has increased in each of the last six years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $164.04 million in FY2024 (+43.4%), $114.43 million in FY2023 (+25.6%), $91.08 million in FY2022 (+13.0%) and $80.59 million in FY2021 (+41.5%).
- The Q3 2026 figure represents the highest quarterly Amortization - Intangibles in data going back to Q1 2010.
- Year-over-year, Amortization - Intangibles increased in five of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q3 2022 (growth of 65.7%), and the weakest in Q2 2022 (a decline of 27.0%).
- Business Quant data shows MSCI's Amortization - Intangibles at $43.8 million (Q2 2026), $41.9 million (Q1 2026) and $40.88 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.20 Mn |
| Jun 30, 2026 | 43.80 Mn |
| Mar 31, 2026 | 41.90 Mn |
| Dec 31, 2025 | 40.88 Mn |
| Sep 30, 2025 | 41.00 Mn |
| Jun 30, 2025 | 43.70 Mn |
| Mar 31, 2025 | 43.90 Mn |
| Dec 31, 2024 | 42.72 Mn |
| Sep 30, 2024 | 41.94 Mn |
| Jun 30, 2024 | 40.77 Mn |
| Mar 31, 2024 | 38.60 Mn |
| Dec 31, 2023 | 36.89 Mn |
| Sep 30, 2023 | 26.72 Mn |
| Jun 30, 2023 | 26.15 Mn |
| Mar 31, 2023 | 24.67 Mn |
| Dec 31, 2022 | 23.81 Mn |
| Sep 30, 2022 | 23.38 Mn |
| Jun 30, 2022 | 22.18 Mn |
| Mar 31, 2022 | 21.72 Mn |
| Dec 31, 2021 | 21.02 Mn |
API Access
Msci Amortization - 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=amortization-intangibles&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();