S&P Global (SPGI) Operating Income (2009 - 2026)
S&P Global's Operating Income was $1.81 billion in Q2 2026, up 16.8% from $1.55 billion a year earlier but down 9.5% from the prior quarter.
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Analysis
S&P Global (SPGI) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&P Global's Operating Income was $7.16 billion through Jun 30, 2026, up 22.0% year-over-year; for FY2025, it came in at $6.48 billion, up 16.1% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Operating Income was $5.58 billion in FY2024 (+38.8%), $4.02 billion in FY2023 (-18.7%), $4.94 billion in FY2022 (+17.1%) and $4.22 billion in FY2021 (+16.7%).
- Quarterly Operating Income has moved between $716 million (Q4 2022) and $2 billion (Q1 2026) over five years.
- Compared with a year earlier, Operating Income has increased for 12 straight quarters, with growth averaging 23.7% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q1 2022 (growth of 75.0%); the worst was Q1 2023 (a decline of 39.5%).
- Per Business Quant data, SPGI's Operating Income in the three quarters before Q2 2026 was $2 billion (Q1 2026), $1.67 billion (Q4 2025) and $1.68 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.81 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.05 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 487.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 314.20 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 258.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 166.30 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 160.60 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.59 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81 Bn |
| Mar 31, 2026 | 2.00 Bn |
| Dec 31, 2025 | 1.67 Bn |
| Sep 30, 2025 | 1.68 Bn |
| Jun 30, 2025 | 1.55 Bn |
| Mar 31, 2025 | 1.58 Bn |
| Dec 31, 2024 | 1.31 Bn |
| Sep 30, 2024 | 1.43 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 890.00 Mn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 911.00 Mn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 716.00 Mn |
| Sep 30, 2022 | 853.00 Mn |
| Jun 30, 2022 | 1.48 Bn |
| Mar 31, 2022 | 1.89 Bn |
| Dec 31, 2021 | 904.00 Mn |
| Sep 30, 2021 | 1.08 Bn |
API Access
S&P Global Operating Income 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=operating-income&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();