Formula Systems (1985) (FORTY) Other Operating Expenses (2017 - 2018)
Formula Systems (1985) (FORTY) reported Other Operating Expenses of $196.38 million for FY2025, up 7.1% from $183.33 million in FY2024.
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Analysis
Formula Systems (1985) (FORTY) Other Operating Expenses (2017 - 2018) Analysis & Trends
Dating back to FY2009, Formula Systems (1985)'s Other Operating Expenses record includes 14 years.
- Other Operating Expenses has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Other Operating Expenses since FY2022.
- According to Business Quant data, Other Operating Expenses came in at $183.33 million in FY2024 (+16.0%), $158.04 million in FY2023 (-42.9%), $276.64 million in FY2022 (+33.0%) and $208.02 million in FY2021 (+21.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.85 Bn | -1.05 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 230.34 Mn |
| Dec 31, 2017 | 233.50 Mn |
| Sep 30, 2017 | 218.72 Mn |
API Access
Formula Systems (1985) Other Operating Expenses 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=other-operating-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();