S&P Global (SPGI) Income After Tax (2009 - 2026)
S&P Global (SPGI) reported Income After Tax of $1.32 billion for Q2 2026, up 14.1% from $1.16 billion a year earlier but down 12.0% from the prior quarter.
Powered by 
Analysis
S&P Global (SPGI) Income After Tax (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&P Global's Income After Tax came in at $5.32 billion, up 22.3% year-over-year; for FY2025, it was $4.82 billion, up 15.7% from FY2024.
- Income After Tax has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Income After Tax 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%).
- Five-year quarterly Income After Tax spans a low of $494 million in Q4 2022 and a high of $1.5 billion in Q1 2026.
- Year over year, Income After Tax has now increased in each of the last 12 quarters, with growth averaging 23.2% over the last eight quarters.
- The high point for year-over-year Income After Tax in five years was Q2 2024 (growth of 88.7%); the low point was Q2 2023 (a decline of 45.3%).
- Per Business Quant data, the three quarters before Q2 2026 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) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 1.41 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 | 114.00 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 | 1.41 Bn |
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.47 Bn |
| Sep 30, 2025 | 1.17 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 Income After Tax 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=profit-after-tax&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();