Factset Research Systems (FDS) Non-Current Debt (2021 - 2026)
Factset Research Systems (FDS) reported Non-Current Debt of $890.54 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 37.7% from $1.43 billion a year earlier and down 35.0% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Non-Current Debt (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems posted Non-Current Debt of $1.37 billion, up 10.2% from FY2024.
- Non-Current Debt has a four-year compound annual growth rate of 24.2% (FY2021 to FY2025).
- By fiscal year, Non-Current Debt came in at $1.24 billion in FY2024 (-23.0%), $1.61 billion in FY2023 (-18.7%), $1.98 billion in FY2022 (+245.0%) and $574.54 million in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Non-Current Debt since fiscal Q4 2021.
- Year over year, Non-Current Debt gained in three of the last eight quarters, with an average decline of 6.8%.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q4 2022 (growth of 245.0%); the low point was fiscal Q3 2026 (a decline of 37.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.37 billion (Q2 2026), $1.37 billion (Q1 2026) and $1.37 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 12.60 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 6.38 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 6.38 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 4.22 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 4.06 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 5.37 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 890.54 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 22.18 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 3.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 890.54 Mn |
| Feb 28, 2026 | 1.37 Bn |
| Nov 30, 2025 | 1.37 Bn |
| Aug 31, 2025 | 1.37 Bn |
| May 31, 2025 | 1.43 Bn |
| Feb 28, 2025 | 1.47 Bn |
| Nov 30, 2024 | 1.30 Bn |
| Aug 31, 2024 | 1.24 Bn |
| May 31, 2024 | 1.24 Bn |
| Feb 29, 2024 | 1.49 Bn |
| Nov 30, 2023 | 1.55 Bn |
| Aug 31, 2023 | 1.61 Bn |
| May 31, 2023 | 1.67 Bn |
| Feb 28, 2023 | 1.74 Bn |
| Nov 30, 2022 | 1.86 Bn |
| Aug 31, 2022 | 1.98 Bn |
| Aug 31, 2021 | 574.54 Mn |
API Access
Factset Research Systems Non-Current Debt 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=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();