S&P Global (SPGI) Total Liabilities (2009 - 2026)
S&P Global's Total Liabilities came in at $31.29 billion for Q2 2026, up 16.3% from $26.9 billion a year earlier and up 6.1% from the prior quarter.
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Analysis
S&P Global (SPGI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global's Total Liabilities was $29.97 billion, up 11.1% from FY2024.
- Total Liabilities has increased in each of the last 12 years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $26.97 billion in FY2024 (+2.6%), $26.29 billion in FY2023 (+3.9%), $25.31 billion in FY2022 (+95.9%) and $12.92 billion in FY2021 (+8.0%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q1 2009.
- Year-over-year, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 124.3%), and the weakest in Q1 2023 (a decline of 2.5%).
- Business Quant data shows SPGI's Total Liabilities at $29.5 billion (Q1 2026), $29.97 billion (Q4 2025) and $26.51 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 31.29 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 11.51 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 8.29 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.68 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 7.58 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.19 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.16 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.92 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 52.08 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 168.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.29 Bn |
| Mar 31, 2026 | 29.50 Bn |
| Dec 31, 2025 | 29.97 Bn |
| Sep 30, 2025 | 26.51 Bn |
| Jun 30, 2025 | 26.90 Bn |
| Mar 31, 2025 | 26.42 Bn |
| Dec 31, 2024 | 26.97 Bn |
| Sep 30, 2024 | 26.28 Bn |
| Jun 30, 2024 | 25.99 Bn |
| Mar 31, 2024 | 26.05 Bn |
| Dec 31, 2023 | 26.29 Bn |
| Sep 30, 2023 | 25.05 Bn |
| Jun 30, 2023 | 25.14 Bn |
| Mar 31, 2023 | 25.65 Bn |
| Dec 31, 2022 | 25.31 Bn |
| Sep 30, 2022 | 24.57 Bn |
| Jun 30, 2022 | 24.82 Bn |
| Mar 31, 2022 | 26.31 Bn |
| Dec 31, 2021 | 12.92 Bn |
| Sep 30, 2021 | 12.20 Bn |
API Access
S&P Global Total Liabilities 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=total-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();