S&P Global (SPGI) Enterprise Value (2009 - 2026)
S&P Global (SPGI) recorded Enterprise Value of $114.48 billion in Q2 2026, down 26.1% from $154.92 billion a year earlier and down 6.3% from the prior quarter.
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Analysis
S&P Global (SPGI) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, S&P Global's Enterprise Value came in at $109.19 billion as of Jun 30, 2026, down 27.2% year-over-year; for FY2025, it was $150.85 billion, up 2.2% from FY2024.
- Annual Enterprise Value has increased for three straight years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $147.56 billion in FY2024 (+10.6%), $133.38 billion in FY2023 (+28.3%), $103.96 billion in FY2022 (-0.5%) and $104.52 billion in FY2021 (+42.2%).
- The Q2 2026 figure is the lowest quarterly Enterprise Value since Q3 2023.
- On a year-over-year basis, Enterprise Value rose in five of the last eight quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 42.2% in Q4 2021, against a decline of 26.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $122.22 billion (Q1 2026), $150.85 billion (Q4 2025) and $142.49 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.48 Bn |
| Mar 31, 2026 | 122.22 Bn |
| Dec 31, 2025 | 150.85 Bn |
| Sep 30, 2025 | 142.49 Bn |
| Jun 30, 2025 | 154.92 Bn |
| Mar 31, 2025 | 150.21 Bn |
| Dec 31, 2024 | 147.56 Bn |
| Sep 30, 2024 | 154.27 Bn |
| Jun 30, 2024 | 134.05 Bn |
| Mar 31, 2024 | 128.31 Bn |
| Dec 31, 2023 | 133.38 Bn |
| Sep 30, 2023 | 111.38 Bn |
| Jun 30, 2023 | 122.63 Bn |
| Mar 31, 2023 | 106.64 Bn |
| Dec 31, 2022 | 103.96 Bn |
| Sep 30, 2022 | 95.89 Bn |
| Jun 30, 2022 | 106.93 Bn |
| Mar 31, 2022 | 105.82 Bn |
| Dec 31, 2021 | 104.52 Bn |
| Sep 30, 2021 | 94.16 Bn |
API Access
S&P Global Enterprise Value 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=enterprise-value&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();