Factset Research Systems (FDS) Depreciation & Amortization (CF) (2009 - 2026)
Factset Research Systems' Depreciation & Amortization (CF) came in at $47.12 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 10.3% from $42.72 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Depreciation & Amortization (CF) was $180.83 million, up 14.7% from FY2025.
- Depreciation & Amortization (CF) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 22.9% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation & Amortization (CF) was $157.69 million in FY2025 (+26.0%), $125.19 million in FY2024 (+18.8%), $105.38 million in FY2023 (+21.6%) and $86.68 million in FY2022 (+34.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to fiscal Q1 2010.
- Year-over-year, Depreciation & Amortization (CF) has increased for 13 consecutive quarters, with growth averaging 20.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in fiscal Q2 2023 (growth of 67.8%), and the weakest in fiscal Q3 2023 (a decline of 3.2%).
- Business Quant data shows FDS's Depreciation & Amortization (CF) at $45.87 million (Q3 2026), $43.69 million (Q2 2026) and $44.15 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn | 124.00 Mn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn | 6.50 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn | 66.30 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn | 196.40 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn | 47.12 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn | 53.50 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - | 309.00 Mn |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - | 28.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 47.12 Mn |
| May 31, 2026 | 45.87 Mn |
| Feb 28, 2026 | 43.69 Mn |
| Nov 30, 2025 | 44.15 Mn |
| Aug 31, 2025 | 42.72 Mn |
| May 31, 2025 | 40.85 Mn |
| Feb 28, 2025 | 38.41 Mn |
| Nov 30, 2024 | 35.72 Mn |
| Aug 31, 2024 | 34.03 Mn |
| May 31, 2024 | 32.50 Mn |
| Feb 29, 2024 | 31.58 Mn |
| Nov 30, 2023 | 27.07 Mn |
| Aug 31, 2023 | 26.70 Mn |
| May 31, 2023 | 26.47 Mn |
| Feb 28, 2023 | 26.21 Mn |
| Nov 30, 2022 | 26.00 Mn |
| Aug 31, 2022 | 26.51 Mn |
| May 31, 2022 | 27.35 Mn |
| Feb 28, 2022 | 15.62 Mn |
| Nov 30, 2021 | 17.21 Mn |
API Access
Factset Research Systems Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();