Msci (MSCI) Revenue (2010 - 2026)
Msci's Revenue was $867 million in Q2 2026, up 12.2% from $772.7 million a year earlier and up 1.9% from the prior quarter.
Msci (MSCI) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Msci's Revenue was $3.33 billion through Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $3.13 billion, up 9.7% from FY2024.
- Revenue has now increased for 13 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Revenue was $2.86 billion in FY2024 (+12.9%), $2.53 billion in FY2023 (+12.5%), $2.25 billion in FY2022 (+10.0%) and $2.04 billion in FY2021 (+20.5%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2010.
- Compared with a year earlier, Revenue has increased for 50 straight quarters, with growth averaging 11.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 4.8% (Q4 2022) to 23.9% (Q4 2021).
- Per Business Quant data, MSCI's Revenue in the three quarters before Q2 2026 was $850.8 million (Q1 2026), $822.53 million (Q4 2025) and $793.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 4.15 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 2.19 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 867.00 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 806.30 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 1.70 Bn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 1.31 Bn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 622.92 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 663.20 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 9.28 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 1.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 867.00 Mn |
| Mar 31, 2026 | 850.80 Mn |
| Dec 31, 2025 | 822.53 Mn |
| Sep 30, 2025 | 793.43 Mn |
| Jun 30, 2025 | 772.70 Mn |
| Mar 31, 2025 | 745.80 Mn |
| Dec 31, 2024 | 743.51 Mn |
| Sep 30, 2024 | 724.71 Mn |
| Jun 30, 2024 | 707.95 Mn |
| Mar 31, 2024 | 679.97 Mn |
| Dec 31, 2023 | 690.11 Mn |
| Sep 30, 2023 | 625.44 Mn |
| Jun 30, 2023 | 621.16 Mn |
| Mar 31, 2023 | 592.22 Mn |
| Dec 31, 2022 | 576.21 Mn |
| Sep 30, 2022 | 560.64 Mn |
| Jun 30, 2022 | 551.81 Mn |
| Mar 31, 2022 | 559.95 Mn |
| Dec 31, 2021 | 549.84 Mn |
| Sep 30, 2021 | 517.10 Mn |
Msci Revenue 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=revenue&ticker=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();