Formula Systems (1985) (FORTY) EBIT (2009 - 2026)
Formula Systems (1985) (FORTY) posted EBIT of $71.65 million for Q2 2026, up 41.3% from $50.71 million a year earlier but down 12.6% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Formula Systems (1985) was $249.8 million, up 26.5% year-over-year; for FY2025, it came in at $196.38 million, up 7.1% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Formula Systems (1985)'s EBIT was $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%).
- Quarterly EBIT has run from a low of $41.59 million in Q4 2025 to a high of $99.54 million in Q2 2022 over five years.
- On a year-over-year basis, EBIT increased in three of the last eight quarters, with growth averaging 3.2%.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2022, with growth of 97.0%; the weakest was Q2 2023, with a decline of 39.7%.
- According to Business Quant data, EBIT for the three prior quarters was $82.01 million (Q1 2026), $41.59 million (Q4 2025) and $54.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 1.07 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 874.00 Mn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 414.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 428.60 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 642.88 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 480.36 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 377.33 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 231.04 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 152.22 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 71.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.65 Mn |
| Mar 31, 2026 | 82.01 Mn |
| Dec 31, 2025 | 41.59 Mn |
| Sep 30, 2025 | 54.55 Mn |
| Jun 30, 2025 | 50.71 Mn |
| Mar 31, 2025 | 49.52 Mn |
| Dec 31, 2024 | 48.06 Mn |
| Sep 30, 2024 | 49.23 Mn |
| Jun 30, 2024 | 65.04 Mn |
| Mar 31, 2024 | 62.59 Mn |
| Dec 31, 2023 | 60.34 Mn |
| Sep 30, 2023 | 58.25 Mn |
| Jun 30, 2023 | 59.98 Mn |
| Mar 31, 2023 | 60.79 Mn |
| Dec 31, 2022 | 60.18 Mn |
| Sep 30, 2022 | 57.53 Mn |
| Jun 30, 2022 | 99.54 Mn |
| Mar 31, 2022 | 59.40 Mn |
| Dec 31, 2021 | 59.57 Mn |
| Sep 30, 2021 | 50.45 Mn |
API Access
Formula Systems (1985) EBIT 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=ebit&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();