Factset Research Systems (FDS) Free Cash Flow (2009 - 2026)
Factset Research Systems' Free Cash Flow came in at $254.05 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 11.1% from $228.6 million a year earlier and up 36.8% from the prior quarter.
Factset Research Systems (FDS) Free Cash Flow (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Factset Research Systems reported Free Cash Flow of $708.31 million, up 22.9% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $617.45 million, up 0.5% from FY2024.
- Free Cash Flow has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Going back by fiscal year, Free Cash Flow was $614.66 million in FY2024 (+5.1%), $584.79 million in FY2023 (+20.0%), $487.12 million in FY2022 (-1.4%) and $493.9 million in FY2021 (+15.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Free Cash Flow in data going back to fiscal Q1 2010.
- Year-over-year, Free Cash Flow has increased for six consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- The fastest year-over-year change in Free Cash Flow over five years came in fiscal Q1 2024 (growth of 56.4%), and the weakest in fiscal Q1 2025 (a decline of 56.4%).
- Business Quant data shows FDS's Free Cash Flow at $185.69 million (Q2 2026), $90.44 million (Q1 2026) and $178.13 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.40 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 688.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 359.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 297.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 204.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 305.70 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 254.05 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 122.50 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 3.48 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 923.50 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 254.05 Mn |
| Feb 28, 2026 | 185.69 Mn |
| Nov 30, 2025 | 90.44 Mn |
| Aug 31, 2025 | 178.13 Mn |
| May 31, 2025 | 228.60 Mn |
| Feb 28, 2025 | 150.22 Mn |
| Nov 30, 2024 | 60.50 Mn |
| Aug 31, 2024 | 137.20 Mn |
| May 31, 2024 | 216.90 Mn |
| Feb 29, 2024 | 121.88 Mn |
| Nov 30, 2023 | 138.68 Mn |
| Aug 31, 2023 | 156.31 Mn |
| May 31, 2023 | 192.58 Mn |
| Feb 28, 2023 | 147.22 Mn |
| Nov 30, 2022 | 88.68 Mn |
| Aug 31, 2022 | 136.15 Mn |
| May 31, 2022 | 176.57 Mn |
| Feb 28, 2022 | 110.07 Mn |
| Nov 30, 2021 | 64.34 Mn |
| Aug 31, 2021 | 171.07 Mn |
Factset Research Systems Free Cash Flow 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=free-cash-flow&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();