Factset Research Systems (FDS) Cash from Operations (2009 - 2026)
Factset Research Systems (FDS) reported Cash from Operations of $284.52 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.1% from $253.83 million a year earlier and up 34.4% from the prior quarter.
Factset Research Systems (FDS) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Factset Research Systems' Cash from Operations came in at $829.59 million, up 22.5% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $726.26 million, up 3.7% from FY2024.
- Cash from Operations has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By fiscal year, Cash from Operations came in at $700.34 million in FY2024 (+8.5%), $645.57 million in FY2023 (+19.9%), $538.28 million in FY2022 (-3.1%) and $555.23 million in FY2021 (+9.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cash from Operations in data going back to fiscal Q1 2010.
- Year over year, Cash from Operations has now increased in each of the last six quarters, with growth averaging 11.5% over the last eight quarters.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2023 (growth of 46.2%); the low point was fiscal Q1 2025 (a decline of 44.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $211.69 million (Q2 2026), $121.28 million (Q1 2026) and $212.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.44 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 779.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 370.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 339.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 374.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 284.52 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 155.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 3.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 947.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 284.52 Mn |
| Feb 28, 2026 | 211.69 Mn |
| Nov 30, 2025 | 121.28 Mn |
| Aug 31, 2025 | 212.10 Mn |
| May 31, 2025 | 253.83 Mn |
| Feb 28, 2025 | 173.96 Mn |
| Nov 30, 2024 | 86.37 Mn |
| Aug 31, 2024 | 163.16 Mn |
| May 31, 2024 | 238.24 Mn |
| Feb 29, 2024 | 143.80 Mn |
| Nov 30, 2023 | 155.14 Mn |
| Aug 31, 2023 | 155.67 Mn |
| May 31, 2023 | 218.59 Mn |
| Feb 28, 2023 | 164.68 Mn |
| Nov 30, 2022 | 106.64 Mn |
| Aug 31, 2022 | 151.35 Mn |
| May 31, 2022 | 191.97 Mn |
| Feb 28, 2022 | 122.03 Mn |
| Nov 30, 2021 | 72.92 Mn |
| Aug 31, 2021 | 184.98 Mn |
Factset Research Systems Cash from Operations 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=cash-from-operations&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();