Factset Research Systems (FDS) Long-Term Debt Repayments (2017 - 2026)
Factset Research Systems (FDS) reported Long-Term Debt Repayments of $167.5 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 168.0% from $62.5 million a year earlier and up 123.3% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems posted Long-Term Debt Repayments of $242.5 million, down 69.9% from FY2025.
- Long-Term Debt Repayments has a four-year compound annual growth rate of -26.4% (FY2022 to FY2026).
- By fiscal year, Long-Term Debt Repayments came in at $805 million in FY2025 (+222.0%), $250 million in FY2024 (-33.3%), $375 million in FY2023 (-54.5%) and $825 million in FY2022.
- The fiscal Q4 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since fiscal Q3 2025.
- Year over year, Long-Term Debt Repayments gained in three of the last six quarters, with growth averaging 161.6%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2025 (growth of 768.0%); the low point was fiscal Q3 2023 (a decline of 91.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | - |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | - |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 340.00 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 | 167.50 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 64.70 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 |
|---|---|
| Aug 31, 2026 | 167.50 Mn |
| May 31, 2026 | 75.00 Mn |
| Aug 31, 2025 | 62.50 Mn |
| May 31, 2025 | 542.50 Mn |
| Feb 28, 2025 | 137.50 Mn |
| Nov 30, 2024 | 62.50 Mn |
| Aug 31, 2024 | 62.50 Mn |
| May 31, 2024 | 62.50 Mn |
| Feb 29, 2024 | 62.50 Mn |
| Nov 30, 2023 | 62.50 Mn |
| Aug 31, 2023 | 62.50 Mn |
| May 31, 2023 | 62.50 Mn |
| Feb 28, 2023 | 125.00 Mn |
| Nov 30, 2022 | 125.00 Mn |
| Aug 31, 2022 | 125.00 Mn |
| May 31, 2022 | 700.00 Mn |
| Aug 31, 2017 | 65.00 Mn |
API Access
Factset Research Systems 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=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "FDS", "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=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();