Factset Research Systems (FDS) Long-Term Debt Issuances (2015 - 2026)
Factset Research Systems' Long-Term Debt Issuances came in at $145.93 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 53.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Long-Term Debt Issuances (2015 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Long-Term Debt Issuances was $240.93 million, down 70.0% from FY2025.
- Long-Term Debt Issuances carries a four-year compound annual growth rate of -42.7% (FY2022 to FY2026).
- Going back by fiscal year, Long-Term Debt Issuances was $803.41 million in FY2025 and $2.24 billion in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Long-Term Debt Issuances since fiscal Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 675.00 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | -12.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | - |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | - |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 145.93 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 30.00 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 145.93 Mn |
| May 31, 2026 | 95.00 Mn |
| May 31, 2025 | 498.41 Mn |
| Feb 28, 2025 | 250.00 Mn |
| Nov 30, 2024 | 55.00 Mn |
| Nov 30, 2017 | 65.00 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();