S&P Global (SPGI) Long-Term Debt Repayments (2016 - 2026)
S&P Global's Long-Term Debt Repayments came in at $3 million for Q1 2026, down 25.0% from $4 million a year earlier.
Analysis
S&P Global (SPGI) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For FY2025, S&P Global's Long-Term Debt Repayments was $4 million, down 91.5% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -69.0% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $47 million in FY2024 and $3.7 billion in FY2022.
- The Q1 2026 figure represents the lowest quarterly Long-Term Debt Repayments in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.41 Bn | 126.26 Bn | 2.64 Bn | - |
| 2 | Moodys | 87.45 Bn | 80.37 Bn | 1.50 Bn | - |
| 3 | Msci | 46.20 Bn | 44.68 Bn | 739.80 Mn | 340.00 Mn |
| 4 | Verisk Analytics | 26.74 Bn | 21.38 Bn | 572.90 Mn | - |
| 5 | Equifax | 22.26 Bn | 21.54 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.55 Bn | 12.24 Bn | - | 130.30 Mn |
| 7 | Factset Research Systems | 11.96 Bn | 10.82 Bn | 308.40 Mn | 167.50 Mn |
| 8 | Morningstar | 9.13 Bn | 7.02 Bn | 431.40 Mn | 64.70 Mn |
| 9 | Mastercard | 576.33 Bn | 536.42 Bn | - | 618.00 Mn |
| 10 | Cme | 109.59 Bn | 97.93 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Jun 30, 2024 | 47.00 Mn |
| Dec 31, 2022 | 14.00 Mn |
| Jun 30, 2022 | 610.00 Mn |
| Mar 31, 2022 | 3.07 Bn |
| Dec 31, 2019 | 868.00 Mn |
| Dec 31, 2016 | 278.00 Mn |
API Access
S&P Global Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();