Factset Research Systems (FDS) Operating Leases (2019 - 2026)
Factset Research Systems (FDS) recorded Operating Leases of $146.98 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 6.4% from $157.09 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems reported Operating Leases of $157.1 million, down 11.5% from FY2024.
- Annual Operating Leases has declined for five straight fiscal years, with a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $177.52 million in FY2024 (-10.5%), $198.38 million in FY2023 (-4.9%), $208.62 million in FY2022 (-19.8%) and $259.98 million in FY2021 (-4.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined for 21 consecutive quarters, with an average decline of 10.0% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 1.7% (fiscal Q1 2026) and 19.8% (fiscal Q4 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $150.87 million (Q2 2026), $158.69 million (Q1 2026) and $157.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 146.98 Mn |
| Feb 28, 2026 | 150.87 Mn |
| Nov 30, 2025 | 158.69 Mn |
| Aug 31, 2025 | 157.10 Mn |
| May 31, 2025 | 157.09 Mn |
| Feb 28, 2025 | 158.42 Mn |
| Nov 30, 2024 | 161.37 Mn |
| Aug 31, 2024 | 177.52 Mn |
| May 31, 2024 | 183.64 Mn |
| Feb 29, 2024 | 185.76 Mn |
| Nov 30, 2023 | 192.65 Mn |
| Aug 31, 2023 | 198.38 Mn |
| May 31, 2023 | 200.74 Mn |
| Feb 28, 2023 | 196.67 Mn |
| Nov 30, 2022 | 201.96 Mn |
| Aug 31, 2022 | 208.62 Mn |
| May 31, 2022 | 227.05 Mn |
| Feb 28, 2022 | 233.28 Mn |
| Nov 30, 2021 | 249.75 Mn |
| Aug 31, 2021 | 259.98 Mn |
API Access
Factset Research Systems Operating Leases 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=operating-leases&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();