Msci (MSCI) Amortization of Intangibles (2009 - 2026)
Msci (MSCI) recorded Amortization of Intangibles of $45.2 million in 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 of Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Msci's Amortization of Intangibles came in at $171.78 million as of Sep 30, 2026, up 0.3% year-over-year; for FY2025, it came in at $169.48 million, up 3.3% from FY2024.
- Annual Amortization of Intangibles has increased for six straight years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Across earlier years, Amortization of Intangibles came in at $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 is the highest quarterly Amortization of Intangibles in data going back to Q4 2009.
- On a year-over-year basis, Amortization of Intangibles rose in five of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Amortization of Intangibles in the last five years was growth of 65.7% in Q3 2022, against a decline of 27.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.8 million (Q2 2026), $41.9 million (Q1 2026) and $40.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 137.78 Bn | 127.63 Bn | 2.64 Bn | 199.00 Mn |
| 2 | Moodys | 87.99 Bn | 80.92 Bn | 1.50 Bn | - |
| 3 | Msci | 46.93 Bn | 45.41 Bn | 739.80 Mn | 45.20 Mn |
| 4 | Verisk Analytics | 26.53 Bn | 21.17 Bn | 572.90 Mn | 14.30 Mn |
| 5 | Equifax | 22.42 Bn | 21.69 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.89 Bn | 12.58 Bn | - | - |
| 7 | Factset Research Systems | 11.93 Bn | 10.78 Bn | 308.40 Mn | - |
| 8 | Morningstar | 9.27 Bn | 7.16 Bn | 431.40 Mn | - |
| 9 | Mastercard | 581.81 Bn | 541.90 Bn | - | - |
| 10 | Cme | 109.22 Bn | 97.56 Bn | - | 56.00 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 of 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=amortizatization-of-intangibles&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();