S&P Global (SPGI) Total Non-Current Liabilities (2009 - 2026)
S&P Global (SPGI) recorded Total Non-Current Liabilities of $30.53 billion in Q2 2026, up 18.7% from $25.71 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
S&P Global (SPGI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global reported Total Non-Current Liabilities of $28.86 billion, up 10.4% from FY2024.
- Annual Total Non-Current Liabilities has increased for nine straight years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $26.15 billion in FY2024 (+1.5%), $25.77 billion in FY2023 (+3.8%), $24.82 billion in FY2022 (+102.4%) and $12.26 billion in FY2021 (+8.4%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 131.9% in Q1 2022, against a decline of 2.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.73 billion (Q1 2026), $28.86 billion (Q4 2025) and $25.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 30.53 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 10.72 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 8.15 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.65 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 7.33 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.06 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.12 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.90 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 47.50 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 167.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.53 Bn |
| Mar 31, 2026 | 28.73 Bn |
| Dec 31, 2025 | 28.86 Bn |
| Sep 30, 2025 | 25.34 Bn |
| Jun 30, 2025 | 25.71 Bn |
| Mar 31, 2025 | 25.58 Bn |
| Dec 31, 2024 | 26.15 Bn |
| Sep 30, 2024 | 25.35 Bn |
| Jun 30, 2024 | 25.17 Bn |
| Mar 31, 2024 | 25.46 Bn |
| Dec 31, 2023 | 25.77 Bn |
| Sep 30, 2023 | 24.54 Bn |
| Jun 30, 2023 | 24.64 Bn |
| Mar 31, 2023 | 25.18 Bn |
| Dec 31, 2022 | 24.82 Bn |
| Sep 30, 2022 | 24.13 Bn |
| Jun 30, 2022 | 24.38 Bn |
| Mar 31, 2022 | 25.82 Bn |
| Dec 31, 2021 | 12.26 Bn |
| Sep 30, 2021 | 11.48 Bn |
API Access
S&P Global Total Non-Current 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-non-current-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();