Formula Systems (1985) (FORTY) Depreciation & Amortization (CF) (2017 - 2018)
Formula Systems (1985) (FORTY) recorded Depreciation & Amortization (CF) of $152.51 million in FY2025, up 32.1% from $115.5 million in FY2024.
Powered by 
Analysis
Formula Systems (1985) (FORTY) Depreciation & Amortization (CF) (2017 - 2018) Analysis & Trends
Starting with FY2009, Formula Systems (1985)'s Depreciation & Amortization (CF) history includes 17 years.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Depreciation & Amortization (CF) in data going back to FY2009.
- Per Business Quant data, FORTY's Depreciation & Amortization (CF) was $115.5 million in FY2024 (-5.2%), $121.83 million in FY2023 (+5.7%), $115.31 million in FY2022 (-5.6%) and $122.18 million in FY2021 (+27.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 13.59 Bn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | 143.00 Mn |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | 91.72 Mn |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | 75.10 Mn |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | 106.24 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 110.88 Mn |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | 35.60 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 22.57 Mn |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | 32.10 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.10 Bn | 158.43 Mn | - |
API Access
Formula Systems (1985) 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=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "FORTY", "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=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();