Formula Systems (1985) (FORTY) Gross Profit (2009 - 2026)
Formula Systems (1985) (FORTY) posted Gross Profit of $158.43 million for Q2 2026, up 28.7% from $123.11 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Gross Profit (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Profit at Formula Systems (1985) was $580.29 million, up 22.3% year-over-year; for FY2025, it was $519.16 million, up 16.5% from FY2024.
- Annual Gross Profit shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Formula Systems (1985)'s Gross Profit was $445.76 million in FY2024 (+5.8%), $421.2 million in FY2023 (-32.3%), $622.47 million in FY2022 (+10.4%) and $563.86 million in FY2021 (+26.0%).
- The Q2 2026 figure stands as the highest quarterly Gross Profit since Q2 2024.
- On a year-over-year basis, Gross Profit has increased in each of the last four quarters, with an average decline of 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Gross Profit in the past five years was Q2 2026, with growth of 28.7%; the weakest was Q3 2024, with a decline of 31.1%.
- According to Business Quant data, Gross Profit for the three prior quarters was $146.04 million (Q1 2026), $140.11 million (Q4 2025) and $135.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.07 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.43 Mn |
| Mar 31, 2026 | 146.04 Mn |
| Dec 31, 2025 | 140.11 Mn |
| Sep 30, 2025 | 135.71 Mn |
| Jun 30, 2025 | 123.11 Mn |
| Mar 31, 2025 | 120.23 Mn |
| Dec 31, 2024 | 121.28 Mn |
| Sep 30, 2024 | 109.98 Mn |
| Jun 30, 2024 | 166.45 Mn |
| Mar 31, 2024 | 164.22 Mn |
| Dec 31, 2023 | 161.23 Mn |
| Sep 30, 2023 | 159.62 Mn |
| Jun 30, 2023 | 160.94 Mn |
| Mar 31, 2023 | 161.93 Mn |
| Dec 31, 2022 | 162.88 Mn |
| Sep 30, 2022 | 154.24 Mn |
| Jun 30, 2022 | 149.50 Mn |
| Mar 31, 2022 | 155.84 Mn |
| Dec 31, 2021 | 155.72 Mn |
| Sep 30, 2021 | 141.64 Mn |
API Access
Formula Systems (1985) Gross Profit 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=gross-profit&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();