Msci (MSCI) EBITDA (2010 - 2026)
Msci's EBITDA came in at $537.5 million for Q2 2026, up 13.3% from $474.4 million a year earlier and up 6.5% from the prior quarter.
Powered by 
Analysis
Msci (MSCI) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Msci reported EBITDA of $2.05 billion, up 13.8% 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 (+12.5%), $1.52 billion in FY2023 (+14.7%), $1.33 billion in FY2022 (+12.1%) and $1.18 billion in FY2021 (+21.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2010.
- Year-over-year, EBITDA has increased for 29 consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- Across the past five years, year-over-year growth in EBITDA ran from 8.7% in Q1 2023 to 21.7% in Q4 2023.
- Business Quant data shows MSCI's EBITDA at $504.7 million (Q1 2026), $512 million (Q4 2025) and $494.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.12 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.17 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 537.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 444.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 505.60 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 418.50 Mn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 212.17 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 214.10 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 6.59 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 537.50 Mn |
| Mar 31, 2026 | 504.70 Mn |
| Dec 31, 2025 | 512.00 Mn |
| Sep 30, 2025 | 494.46 Mn |
| Jun 30, 2025 | 474.40 Mn |
| Mar 31, 2025 | 425.60 Mn |
| Dec 31, 2024 | 452.25 Mn |
| Sep 30, 2024 | 447.61 Mn |
| Jun 30, 2024 | 427.61 Mn |
| Mar 31, 2024 | 382.07 Mn |
| Dec 31, 2023 | 412.73 Mn |
| Sep 30, 2023 | 385.28 Mn |
| Jun 30, 2023 | 377.31 Mn |
| Mar 31, 2023 | 344.73 Mn |
| Dec 31, 2022 | 339.02 Mn |
| Sep 30, 2022 | 340.03 Mn |
| Jun 30, 2022 | 329.33 Mn |
| Mar 31, 2022 | 317.23 Mn |
| Dec 31, 2021 | 309.54 Mn |
| Sep 30, 2021 | 301.14 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();