Msci (MSCI) Cost of Revenue (2010 - 2026)
Msci (MSCI) posted Cost of Revenue of $149.9 million for Q2 2026, up 8.9% from $137.7 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Msci (MSCI) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Msci was $567.61 million, up 6.6% year-over-year; for FY2025, it came in at $550.37 million, up 7.0% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, Msci's Cost of Revenue was $514.38 million in FY2024 (+15.2%), $446.58 million in FY2023 (+10.4%), $404.34 million in FY2022 (+12.7%) and $358.68 million in FY2021 (+23.0%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2010.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 24 quarters, with growth averaging 8.5% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 3.7% (Q1 2026) and 26.8% (Q3 2021) over the last five years.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $141.8 million (Q1 2026), $143.38 million (Q4 2025) and $132.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 1.17 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 518.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 149.90 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 233.40 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 773.70 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 312.19 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 239.30 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.90 Mn |
| Mar 31, 2026 | 141.80 Mn |
| Dec 31, 2025 | 143.38 Mn |
| Sep 30, 2025 | 132.53 Mn |
| Jun 30, 2025 | 137.70 Mn |
| Mar 31, 2025 | 136.80 Mn |
| Dec 31, 2024 | 131.57 Mn |
| Sep 30, 2024 | 126.19 Mn |
| Jun 30, 2024 | 128.11 Mn |
| Mar 31, 2024 | 128.51 Mn |
| Dec 31, 2023 | 122.56 Mn |
| Sep 30, 2023 | 105.31 Mn |
| Jun 30, 2023 | 110.07 Mn |
| Mar 31, 2023 | 108.65 Mn |
| Dec 31, 2022 | 102.38 Mn |
| Sep 30, 2022 | 98.42 Mn |
| Jun 30, 2022 | 100.77 Mn |
| Mar 31, 2022 | 102.77 Mn |
| Dec 31, 2021 | 95.90 Mn |
| Sep 30, 2021 | 89.67 Mn |
API Access
Msci Cost of 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=cost-of-revenue&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();