S&P Global (SPGI) Retained Earnings (2009 - 2026)
S&P Global (SPGI) reported Retained Earnings of $25.62 billion for Q2 2026, up 14.4% from $22.4 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
S&P Global (SPGI) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global posted Retained Earnings of $23.67 billion, up 12.8% from FY2024.
- Retained Earnings has increased for 11 consecutive years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Retained Earnings came in at $20.98 billion in FY2024 (+12.0%), $18.73 billion in FY2023 (+5.3%), $17.78 billion in FY2022 (+18.4%) and $15.02 billion in FY2021 (+12.3%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q1 2009.
- Year over year, Retained Earnings has now increased in each of the last 43 quarters, with growth averaging 12.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.3% in Q4 2023 to 21.5% in Q2 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.8 billion (Q1 2026), $23.67 billion (Q4 2025) and $23.29 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 25.62 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 19.03 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 5.88 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 8.14 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 6.67 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.21 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.61 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.38 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 91.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 5.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.62 Bn |
| Mar 31, 2026 | 24.80 Bn |
| Dec 31, 2025 | 23.67 Bn |
| Sep 30, 2025 | 23.29 Bn |
| Jun 30, 2025 | 22.40 Bn |
| Mar 31, 2025 | 21.80 Bn |
| Dec 31, 2024 | 20.98 Bn |
| Sep 30, 2024 | 20.36 Bn |
| Jun 30, 2024 | 19.96 Bn |
| Mar 31, 2024 | 19.43 Bn |
| Dec 31, 2023 | 18.73 Bn |
| Sep 30, 2023 | 18.73 Bn |
| Jun 30, 2023 | 18.28 Bn |
| Mar 31, 2023 | 18.17 Bn |
| Dec 31, 2022 | 17.78 Bn |
| Sep 30, 2022 | 17.74 Bn |
| Jun 30, 2022 | 17.30 Bn |
| Mar 31, 2022 | 16.07 Bn |
| Dec 31, 2021 | 15.02 Bn |
| Sep 30, 2021 | 14.77 Bn |
API Access
S&P Global Retained Earnings 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=retained-earnings&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();