Msci (MSCI) EBITDA (2010 - 2026)
Msci's EBITDA came in at $555.7 million for Q3 2026, up 12.1% from $495.9 million a year earlier and up 3.0% from the prior quarter.
Powered by 
Analysis
Msci (MSCI) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Msci reported EBITDA of $2.12 billion, up 14.2% year-over-year; for FY2025, it was $1.91 billion, up 11.5% from FY2024.
- EBITDA has increased in each of the last 11 years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.71 billion in FY2024 (+12.4%), $1.53 billion in FY2023 (+14.6%), $1.33 billion in FY2022 (+12.1%) and $1.19 billion in FY2021 (+21.6%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2010.
- Year-over-year, EBITDA has increased for 48 consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- Across the past five years, year-over-year growth in EBITDA ran from 8.6% in Q1 2023 to 28.2% in Q4 2021.
- Business Quant data shows MSCI's EBITDA at $539.4 million (Q2 2026), $506.5 million (Q1 2026) and $513.83 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 2.18 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 1.03 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 555.70 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 445.40 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 551.70 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 431.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 203.75 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 220.50 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 6.91 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 555.70 Mn |
| Jun 30, 2026 | 539.40 Mn |
| Mar 31, 2026 | 506.50 Mn |
| Dec 31, 2025 | 513.83 Mn |
| Sep 30, 2025 | 495.90 Mn |
| Jun 30, 2025 | 475.70 Mn |
| Mar 31, 2025 | 426.90 Mn |
| Dec 31, 2024 | 453.54 Mn |
| Sep 30, 2024 | 448.89 Mn |
| Jun 30, 2024 | 428.89 Mn |
| Mar 31, 2024 | 383.35 Mn |
| Dec 31, 2023 | 413.99 Mn |
| Sep 30, 2023 | 386.55 Mn |
| Jun 30, 2023 | 378.57 Mn |
| Mar 31, 2023 | 345.99 Mn |
| Dec 31, 2022 | 340.29 Mn |
| Sep 30, 2022 | 341.29 Mn |
| Jun 30, 2022 | 330.53 Mn |
| Mar 31, 2022 | 318.64 Mn |
| Dec 31, 2021 | 310.80 Mn |
API Access
Msci EBITDA 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=ebitda&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();