Factset Research Systems (FDS) Ending Cash Balance (2009 - 2026)
Factset Research Systems' Ending Cash Balance was $239.64 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 31.9% from $351.7 million a year earlier and down 18.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Ending Cash Balance (2009 - 2026) Analysis & Trends
From fiscal Q4 2017 onward, Factset Research Systems has reported Ending Cash Balance for 34 quarters.
- Ending Cash Balance has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -18.9% (FY2021 to FY2026).
- In earlier fiscal years, Ending Cash Balance was $351.7 million in FY2025 (-16.9%), $422.98 million in FY2024 (-0.6%), $425.44 million in FY2023 (-15.5%) and $503.27 million in FY2022 (-26.2%).
- The fiscal Q4 2026 figure marks the lowest quarterly Ending Cash Balance since fiscal Q2 2019.
- Compared with a year earlier, Ending Cash Balance has declined for 18 straight quarters, with an average decline of 18.4% over the last eight quarters.
- The best year-over-year quarter for Ending Cash Balance over five years was fiscal Q2 2022 (growth of 28.3%); the worst was fiscal Q2 2023 (a decline of 42.4%).
- Per Business Quant data, FDS's Ending Cash Balance in the three fiscal quarters before Q4 2026 was $294.41 million (Q3 2026), $277.41 million (Q2 2026) and $284.52 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 261.00 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 2.44 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 1.51 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 556.80 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 192.90 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 883.10 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 239.64 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 496.70 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 12.94 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 157.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 239.64 Mn |
| May 31, 2026 | 294.41 Mn |
| Feb 28, 2026 | 277.41 Mn |
| Nov 30, 2025 | 284.52 Mn |
| Aug 31, 2025 | 351.70 Mn |
| May 31, 2025 | 370.41 Mn |
| Feb 28, 2025 | 291.59 Mn |
| Nov 30, 2024 | 289.17 Mn |
| Aug 31, 2024 | 422.98 Mn |
| May 31, 2024 | 453.14 Mn |
| Feb 29, 2024 | 381.71 Mn |
| Nov 30, 2023 | 411.86 Mn |
| Aug 31, 2023 | 425.44 Mn |
| May 31, 2023 | 486.63 Mn |
| Feb 28, 2023 | 445.33 Mn |
| Nov 30, 2022 | 437.14 Mn |
| Aug 31, 2022 | 503.27 Mn |
| May 31, 2022 | 526.97 Mn |
| Feb 28, 2022 | 773.01 Mn |
| Nov 30, 2021 | 673.90 Mn |
API Access
Factset Research Systems Ending Cash Balance 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=ending-cash-balance&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();