Factset Research Systems (FDS) Total Debt (2015 - 2026)
Factset Research Systems (FDS) recorded Total Debt of $1.37 billion in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 0.1% from $1.37 billion a year earlier but down 1.4% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Total Debt (2015 - 2026) Analysis & Trends
Starting with fiscal Q2 2015, Factset Research Systems' Total Debt history includes 47 quarters.
- Annual Total Debt has a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Debt came in at $1.37 billion in FY2025 (+0.2%), $1.37 billion in FY2024 (-15.3%), $1.61 billion in FY2023 (-18.7%) and $1.98 billion in FY2022 (+245.0%).
- Quarterly Total Debt has ranged from $574.58 million in fiscal Q1 2022 to $2.11 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Total Debt rose in four of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 266.4% in fiscal Q3 2022, against a decline of 20.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.39 billion (Q3 2026), $1.37 billion (Q2 2026) and $1.37 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 13.06 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 6.91 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 6.72 Bn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 4.47 Bn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 5.21 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 5.46 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 1.37 Bn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 1.68 Bn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 23.94 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 3.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.37 Bn |
| May 31, 2026 | 1.39 Bn |
| 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 | 1.36 Bn |
| Aug 31, 2024 | 1.37 Bn |
| May 31, 2024 | 1.43 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 |
| May 31, 2022 | 2.11 Bn |
| Feb 28, 2022 | 574.63 Mn |
| Nov 30, 2021 | 574.58 Mn |
API Access
Factset Research Systems Total 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=total-debt&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();