Formula Systems (1985) (FORTY) EBT (2009 - 2026)
Formula Systems (1985)'s EBT came in at $66.02 million for Q2 2026, up 66.7% from $39.6 million a year earlier but down 15.2% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Formula Systems (1985) reported EBT of $207.61 million, up 24.9% year-over-year; for FY2025, it was $146.39 million, down 7.9% from FY2024.
- EBT carries a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Going back by year, EBT was $158.87 million in FY2024 (+19.2%), $133.25 million in FY2023 (-48.1%), $256.71 million in FY2022 (+39.5%) and $184.01 million in FY2021 (+28.0%).
- The five-year range for quarterly EBT is $18.06 million (Q4 2025) to $95.82 million (Q2 2022).
- Year-over-year, EBT increased in three of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in EBT over five years came in Q2 2022 (growth of 114.9%), and the weakest in Q4 2025 (a decline of 55.7%).
- Business Quant data shows FORTY's EBT at $77.84 million (Q1 2026), $18.06 million (Q4 2025) and $45.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.23 Bn | 38.73 Bn | 1.60 Bn | 1.16 Bn |
| 2 | Cognizant Technology Solutions | 32.18 Bn | 25.34 Bn | 1.83 Bn | 875.00 Mn |
| 3 | Wipro | 22.31 Bn | 17.46 Bn | 745.00 Mn | 439.00 Mn |
| 4 | Td Synnex | 19.93 Bn | 14.09 Bn | 1.43 Bn | 555.25 Mn |
| 5 | Cdw | 19.79 Bn | 17.78 Bn | 1.32 Bn | 372.90 Mn |
| 6 | Cgi | 17.61 Bn | 15.40 Bn | - | 458.28 Mn |
| 7 | Arrow Electronics | 11.19 Bn | 10.14 Bn | 1.13 Bn | 353.15 Mn |
| 8 | Avnet | 7.58 Bn | 6.76 Bn | 865.03 Mn | 160.16 Mn |
| 9 | EPAM Systems | 6.91 Bn | 2.55 Bn | 429.57 Mn | 140.55 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 66.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.02 Mn |
| Mar 31, 2026 | 77.84 Mn |
| Dec 31, 2025 | 18.06 Mn |
| Sep 30, 2025 | 45.70 Mn |
| Jun 30, 2025 | 39.60 Mn |
| Mar 31, 2025 | 43.03 Mn |
| Dec 31, 2024 | 40.72 Mn |
| Sep 30, 2024 | 42.90 Mn |
| Jun 30, 2024 | 61.21 Mn |
| Mar 31, 2024 | 56.98 Mn |
| Dec 31, 2023 | 51.13 Mn |
| Sep 30, 2023 | 51.82 Mn |
| Jun 30, 2023 | 54.37 Mn |
| Mar 31, 2023 | 53.71 Mn |
| Dec 31, 2022 | 53.28 Mn |
| Sep 30, 2022 | 52.90 Mn |
| Jun 30, 2022 | 95.82 Mn |
| Mar 31, 2022 | 54.72 Mn |
| Dec 31, 2021 | 52.19 Mn |
| Sep 30, 2021 | 44.87 Mn |
API Access
Formula Systems (1985) EBT 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=ebt&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();