S&P Global (SPGI) EBITDA (2009 - 2026)
S&P Global's EBITDA came in at $2.12 billion for Q2 2026, up 14.7% from $1.85 billion a year earlier but down 8.2% from the prior quarter.
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Analysis
S&P Global (SPGI) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported EBITDA of $8.37 billion, up 18.6% year-over-year; for FY2025, it was $7.66 billion, up 13.4% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $6.75 billion in FY2024 (+30.8%), $5.16 billion in FY2023 (-13.3%), $5.96 billion in FY2022 (+35.4%) and $4.4 billion in FY2021 (+15.1%).
- The five-year range for quarterly EBITDA is $945 million (Q4 2021) to $2.31 billion (Q1 2026).
- Year-over-year, EBITDA has increased for 12 consecutive quarters, with growth averaging 19.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2022 (growth of 79.4%), and the weakest in Q2 2023 (a decline of 33.0%).
- Business Quant data shows SPGI's EBITDA at $2.31 billion (Q1 2026), $1.97 billion (Q4 2025) and $1.97 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.12 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.17 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 537.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 444.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 505.60 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 418.50 Mn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 212.17 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 214.10 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 6.59 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Bn |
| Mar 31, 2026 | 2.31 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 1.97 Bn |
| Jun 30, 2025 | 1.85 Bn |
| Mar 31, 2025 | 1.87 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 30, 2024 | 1.73 Bn |
| Jun 30, 2024 | 1.74 Bn |
| Mar 31, 2024 | 1.67 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.43 Bn |
| Dec 31, 2022 | 991.00 Mn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 1.79 Bn |
| Mar 31, 2022 | 2.03 Bn |
| Dec 31, 2021 | 945.00 Mn |
| Sep 30, 2021 | 1.12 Bn |
API Access
S&P Global EBITDA 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=ebitda&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();