S&P Global (SPGI) Consolidated Net Income (2009 - 2026)
S&P Global (SPGI) recorded Consolidated Net Income of $1.32 billion in Q2 2026, up 14.1% from $1.16 billion a year earlier but down 12.0% from the prior quarter.
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Analysis
S&P Global (SPGI) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, S&P Global's Consolidated Net Income came in at $5.32 billion as of Jun 30, 2026, up 22.3% year-over-year; for FY2025, it was $4.82 billion, up 15.7% from FY2024.
- Annual Consolidated Net Income has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $4.17 billion in FY2024 (+44.0%), $2.89 billion in FY2023 (-17.9%), $3.52 billion in FY2022 (+7.9%) and $3.26 billion in FY2021 (+28.8%).
- Quarterly Consolidated Net Income has ranged from $494 million in Q4 2022 to $1.5 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Consolidated Net Income has increased for 12 consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 88.7% in Q2 2024, against a decline of 45.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.5 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 1.32 Bn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 879.00 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 342.00 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 185.10 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | 146.70 Mn |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 126.72 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 107.80 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 4.39 Bn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 967.00 Mn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 644.00 Mn |
| Sep 30, 2023 | 814.00 Mn |
| Jun 30, 2023 | 575.00 Mn |
| Mar 31, 2023 | 860.00 Mn |
| Dec 31, 2022 | 494.00 Mn |
| Sep 30, 2022 | 678.00 Mn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.30 Bn |
| Dec 31, 2021 | 736.00 Mn |
| Sep 30, 2021 | 861.00 Mn |
API Access
S&P Global Consolidated Net 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=consolidated-net-income&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();