Msci (MSCI) Capital Expenditures (2009 - 2026)
Msci (MSCI) reported Capital Expenditures of $11 million for Q2 2026, down 2.7% from $11.3 million a year earlier but up 292.9% from the prior quarter.
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Analysis
Msci (MSCI) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Msci's Capital Expenditures came in at $30.22 million, down 31.0% year-over-year; for FY2025, it was $39.32 million, up 16.5% from FY2024.
- Capital Expenditures has increased for four consecutive years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $33.76 million in FY2024 (+48.4%), $22.76 million in FY2023 (+67.1%), $13.62 million in FY2022 (+0.8%) and $13.51 million in FY2021 (-38.1%).
- Five-year quarterly Capital Expenditures spans a low of $1.25 million in Q1 2022 and a high of $14.25 million in Q4 2024.
- Year over year, Capital Expenditures has now declined in each of the last four quarters, with growth averaging 53.9% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q1 2023 (growth of 396.4%); the low point was Q1 2026 (a decline of 75.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.8 million (Q1 2026), $12.44 million (Q4 2025) and $3.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 91.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 11.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 68.10 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 135.00 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 69.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 30.48 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 33.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 291.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 23.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 12.44 Mn |
| Sep 30, 2025 | 3.98 Mn |
| Jun 30, 2025 | 11.30 Mn |
| Mar 31, 2025 | 11.60 Mn |
| Dec 31, 2024 | 14.25 Mn |
| Sep 30, 2024 | 6.63 Mn |
| Jun 30, 2024 | 8.62 Mn |
| Mar 31, 2024 | 4.27 Mn |
| Dec 31, 2023 | 3.82 Mn |
| Sep 30, 2023 | 3.56 Mn |
| Jun 30, 2023 | 9.15 Mn |
| Mar 31, 2023 | 6.23 Mn |
| Dec 31, 2022 | 5.61 Mn |
| Sep 30, 2022 | 3.28 Mn |
| Jun 30, 2022 | 3.48 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Dec 31, 2021 | 6.39 Mn |
| Sep 30, 2021 | 4.65 Mn |
API Access
Msci Capital Expenditures 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=capital-expenditures&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();