Factset Research Systems (FDS) Long-Term Debt Issuances (2015 - 2026)
Factset Research Systems' Long-Term Debt Issuances came in at $95 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 80.9% from $498.41 million a year earlier.
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Analysis
Factset Research Systems (FDS) Long-Term Debt Issuances (2015 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Factset Research Systems' Long-Term Debt Issuances was $803.41 million.
- Long-Term Debt Issuances carries a three-year compound annual growth rate of -28.9% (FY2022 to FY2025).
- Going back by fiscal year, Long-Term Debt Issuances was $2.24 billion in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Long-Term Debt Issuances since fiscal Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 129.02 Bn | 119.60 Bn | 2.98 Bn | - |
| 2 | Moodys | 83.95 Bn | 76.24 Bn | 1.67 Bn | - |
| 3 | Msci | 43.33 Bn | 41.67 Bn | 717.10 Mn | 200.00 Mn |
| 4 | Verisk Analytics | 25.27 Bn | 19.91 Bn | 572.90 Mn | - |
| 5 | Equifax | 20.97 Bn | 20.25 Bn | 926.40 Mn | - |
| 6 | TransUnion | 15.09 Bn | 11.91 Bn | - | - |
| 7 | Factset Research Systems | 11.26 Bn | 10.02 Bn | 310.73 Mn | 95.00 Mn |
| 8 | Morningstar | 8.01 Bn | 5.91 Bn | 423.90 Mn | 85.00 Mn |
| 9 | Mastercard | 550.62 Bn | 510.55 Bn | - | 5.60 Bn |
| 10 | Cme | 106.72 Bn | 94.82 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 95.00 Mn |
| May 31, 2025 | 498.41 Mn |
| Feb 28, 2025 | 250.00 Mn |
| Nov 30, 2024 | 55.00 Mn |
| Aug 31, 2017 | 65.00 Mn |
| May 31, 2017 | 510.00 Mn |
| Nov 30, 2016 | 65.00 Mn |
| Nov 30, 2015 | 265.00 Mn |
API Access
Factset Research Systems Long-Term Debt Issuances 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-issuances&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();