S&P Global (SPGI) Capital Expenditures (2009 - 2026)
S&P Global (SPGI) posted Capital Expenditures of $38 million for Q2 2026, down 37.7% from $61 million a year earlier but up 40.7% from the prior quarter.
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Analysis
S&P Global (SPGI) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at S&P Global was $156 million, down 9.3% year-over-year; for FY2025, it was $195 million, up 57.3% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior years, S&P Global's Capital Expenditures was $124 million in FY2024 (-13.3%), $143 million in FY2023 (+60.7%), $89 million in FY2022 (+154.3%) and $35 million in FY2021 (-53.9%).
- Quarterly Capital Expenditures has run from a low of $2 million in Q4 2021 to a high of $61 million in Q2 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in four of the last eight quarters, with growth averaging 16.1%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2022, with growth of 242.9%; the weakest was Q4 2021, with a decline of 93.9%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $27 million (Q1 2026), $46 million (Q4 2025) and $45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 13.40 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 28.00 Mn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 85.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 67.20 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 123.50 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 66.90 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 27.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 35.30 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 222.00 Mn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.00 Mn |
| Jun 30, 2026 | 38.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 62.00 Mn |
| Sep 30, 2025 | 29.00 Mn |
| Jun 30, 2025 | 61.00 Mn |
| Mar 31, 2025 | 43.00 Mn |
| Dec 31, 2024 | 33.00 Mn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 32.00 Mn |
| Mar 31, 2024 | 24.00 Mn |
| Dec 31, 2023 | 48.00 Mn |
| Sep 30, 2023 | 36.00 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 28.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | 24.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 2.00 Mn |
API Access
S&P Global 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=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SPGI", "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=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();