Msci (MSCI) Capital Expenditures (2009 - 2026)
Msci (MSCI) reported Capital Expenditures of $13.4 million for Q3 2026, up 235.0% from $4 million a year earlier and up 21.8% from the prior quarter.
Msci (MSCI) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Msci's Capital Expenditures came in at $39.62 million, down 3.7% year-over-year; for FY2025, it was $39.32 million, up 16.5% from FY2024.
- Capital Expenditures has increased for three 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 (-32.0%) and $20.02 million in FY2021 (-8.3%).
- The Q3 2026 figure ranks as the highest quarterly Capital Expenditures since Q4 2024.
- Year over year, Capital Expenditures gained in four of the last eight quarters, with growth averaging 72.5%.
- 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 Q3 2026 came in at $11 million (Q2 2026), $2.8 million (Q1 2026) and $12.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn | 38.00 Mn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn | 85.00 Mn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn | 13.40 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn | 68.10 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn | 123.50 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - | 69.20 Mn |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn | 27.40 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn | 33.20 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - | 291.00 Mn |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - | 23.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.40 Mn |
| 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 | 12.90 Mn |
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_KEY
import 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();