S&P Global (SPGI) Net Long-Term Debt Issued (Repaid) (2015 - 2026)
S&P Global (SPGI) recorded Net Long-Term Debt Issued (Repaid) of -$3 million in Q1 2026, compared with -$4 million a year earlier.
Analysis
S&P Global (SPGI) Net Long-Term Debt Issued (Repaid) (2015 - 2026) Analysis & Trends
For FY2025, S&P Global reported Net Long-Term Debt Issued (Repaid) of $989 million.
- Across earlier years, Net Long-Term Debt Issued (Repaid) came in at -$47 million in FY2024, $744 million in FY2023 (-56.2%) and $1.7 billion in FY2022.
- The Q1 2026 figure is the highest quarterly Net Long-Term Debt Issued (Repaid) since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | -12.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | - |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 335.00 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | - |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | -130.30 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | -21.57 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | -34.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | -618.00 Mn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -12.00 Mn |
| Mar 31, 2026 | -3.00 Mn |
| Dec 31, 2025 | 993.00 Mn |
| Mar 31, 2025 | -4.00 Mn |
| Jun 30, 2024 | -47.00 Mn |
| Sep 30, 2023 | 744.00 Mn |
| Dec 31, 2022 | -14.00 Mn |
| Jun 30, 2022 | -610.00 Mn |
| Mar 31, 2022 | 2.32 Bn |
| Dec 31, 2019 | 218.00 Mn |
| Dec 31, 2016 | -278.00 Mn |
| Sep 30, 2016 | 493.00 Mn |
| Sep 30, 2015 | 1.98 Bn |
API Access
S&P Global Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();