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 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 8.47 Bn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 27.44 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 10.51 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 5.62 Bn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 7.19 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 6.96 Bn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 2.11 Bn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 2.89 Bn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 46.71 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 164.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.44 Bn |
| 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 |
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();