S&P Global (SPGI) Long-Term Investments (2017 - 2026)
S&P Global (SPGI) recorded Long-Term Investments of $613 million in Q2 2026, down 66.8% from $1.85 billion a year earlier but up 1.3% from the prior quarter.
S&P Global (SPGI) Long-Term Investments (2017 - 2026) Analysis & Trends
At the end of FY2025, S&P Global reported Long-Term Investments of $603 million, down 66.0% from FY2024.
- Annual Long-Term Investments has a four-year compound annual growth rate of 38.3% (FY2021 to FY2025).
- Across earlier years, Long-Term Investments came in at $1.77 billion in FY2024 (-0.7%), $1.79 billion in FY2023 (+2.0%), $1.75 billion in FY2022 (+961.8%) and $165 million in FY2021.
- Quarterly Long-Term Investments has ranged from $165 million in Q4 2021 to $1.89 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Long-Term Investments has declined for three consecutive quarters, with an average decline of 24.0% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 961.8% in Q4 2022, against a decline of 66.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $605 million (Q1 2026), $603 million (Q4 2025) and $1.87 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 613.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 49.80 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 318.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 613.00 Mn |
| Mar 31, 2026 | 605.00 Mn |
| Dec 31, 2025 | 603.00 Mn |
| Sep 30, 2025 | 1.87 Bn |
| Jun 30, 2025 | 1.85 Bn |
| Mar 31, 2025 | 1.79 Bn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | 1.80 Bn |
| Jun 30, 2024 | 1.80 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 1.79 Bn |
| Sep 30, 2023 | 1.79 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.75 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 1.89 Bn |
| Jun 30, 2022 | 1.86 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 165.00 Mn |
| Jun 30, 2017 | 54.00 Mn |
S&P Global Long-Term Investments 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=long-term-investments&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();