Factset Research Systems (FDS) Total Debt (2021 - 2026)
Factset Research Systems (FDS) recorded Total Debt of $1.39 billion in fiscal Q3 2026 (quarter ended May 31, 2026), down 2.8% from $1.43 billion a year earlier but up 1.5% from the prior quarter.
Factset Research Systems (FDS) Total Debt (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems reported Total Debt of $1.37 billion, up 0.2% from FY2024.
- Annual Total Debt has a four-year compound annual growth rate of 24.2% (FY2021 to FY2025).
- Across earlier fiscal years, Total Debt came in at $1.37 billion in FY2024 (-15.3%), $1.61 billion in FY2023 (-18.7%), $1.98 billion in FY2022 (+245.0%) and $574.54 million in FY2021.
- Quarterly Total Debt has ranged from $574.54 million in fiscal Q4 2021 to $1.98 billion in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Total Debt rose in three of the last eight quarters, with an average decline of 4.7%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 245.0% in fiscal Q4 2022, against a decline of 18.7% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.37 billion (Q2 2026), $1.37 billion (Q1 2026) and $1.37 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 15.17 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 6.95 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 | 4.47 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 5.47 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 5.59 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 1.39 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 18.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 24.64 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 3.42 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 574.54 Mn |
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_KEY
import 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();