S&P Global (SPGI) Revenue (2009 - 2026)
S&P Global's Revenue came in at $4.15 billion for Q2 2026, up 10.4% from $3.76 billion a year earlier but down 0.6% from the prior quarter.
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Analysis
S&P Global (SPGI) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported Revenue of $16.12 billion, up 9.7% year-over-year; for FY2025, it was $15.34 billion, up 7.9% from FY2024.
- Revenue has increased in each of the last 15 years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Going back by year, Revenue was $14.21 billion in FY2024 (+13.7%), $12.5 billion in FY2023 (+11.8%), $11.18 billion in FY2022 (+34.8%) and $8.3 billion in FY2021 (+11.5%).
- The five-year range for quarterly Revenue is $2.09 billion (Q3 2021) to $4.17 billion (Q1 2026).
- Year-over-year, Revenue has increased for 30 consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 3.6% (Q2 2023) to 42.1% (Q2 2022).
- Business Quant data shows SPGI's Revenue at $4.17 billion (Q1 2026), $3.92 billion (Q4 2025) and $3.89 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 4.15 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 2.19 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 867.00 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 806.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 1.70 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.31 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 622.92 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 663.20 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 9.28 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.15 Bn |
| Mar 31, 2026 | 4.17 Bn |
| Dec 31, 2025 | 3.92 Bn |
| Sep 30, 2025 | 3.89 Bn |
| Jun 30, 2025 | 3.76 Bn |
| Mar 31, 2025 | 3.78 Bn |
| Dec 31, 2024 | 3.59 Bn |
| Sep 30, 2024 | 3.58 Bn |
| Jun 30, 2024 | 3.55 Bn |
| Mar 31, 2024 | 3.49 Bn |
| Dec 31, 2023 | 3.15 Bn |
| Sep 30, 2023 | 3.08 Bn |
| Jun 30, 2023 | 3.10 Bn |
| Mar 31, 2023 | 3.16 Bn |
| Dec 31, 2022 | 2.94 Bn |
| Sep 30, 2022 | 2.86 Bn |
| Jun 30, 2022 | 2.99 Bn |
| Mar 31, 2022 | 2.39 Bn |
| Dec 31, 2021 | 2.09 Bn |
| Sep 30, 2021 | 2.09 Bn |
API Access
S&P Global Revenue 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=revenue&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();