Factset Research Systems (FDS) Cash from Operations (2009 - 2026)
Factset Research Systems (FDS) reported Cash from Operations of $204.71 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 3.5% from $212.1 million a year earlier and down 28.1% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems posted Cash from Operations of $822.2 million, up 13.2% from FY2025.
- Cash from Operations has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $726.26 million in FY2025 (+3.7%), $700.34 million in FY2024 (+8.5%), $645.57 million in FY2023 (+19.9%) and $538.28 million in FY2022 (-3.1%).
- Five-year quarterly Cash from Operations spans a low of $72.92 million in fiscal Q1 2022 and a high of $284.52 million in fiscal Q3 2026.
- Year over year, Cash from Operations gained in six of the last eight quarters, with growth averaging 10.5%.
- 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 Q4 2026 came in at $284.52 million (Q3 2026), $211.69 million (Q2 2026) and $121.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 1.19 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 753.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 436.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 560.40 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 429.50 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 204.71 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 190.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.09 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 204.71 Mn |
| 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 |
API Access
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();