S&P Global (SPGI) Consolidated Net Income (2009 - 2026)
S&P Global (SPGI) recorded Consolidated Net Income of $1.32 billion in Q3 2026, up 4.5% from $1.27 billion a year earlier but down 0.1% 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 $5.37 billion as of Sep 30, 2026, up 17.8% 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 13 consecutive quarters, with growth averaging 20.1% 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 $1.32 billion (Q2 2026), $1.5 billion (Q1 2026) and $1.22 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 1.35 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 736.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 351.00 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 213.40 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 121.13 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 115.50 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 4.63 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.35 Bn |
| 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 |
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();