Formula Systems (1985) (FORTY) Revenue (2009 - 2026)
Formula Systems (1985)'s Revenue was $782.44 million in Q2 2026, up 29.8% from $602.73 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Formula Systems (1985)'s Revenue was $2.93 billion through Jun 30, 2026, up 24.8% year-over-year; for FY2025, it came in at $2.63 billion, up 18.4% from FY2024.
- Revenue shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Revenue was $2.22 billion in FY2024 (+5.1%), $2.11 billion in FY2023 (-18.0%), $2.57 billion in FY2022 (+7.0%) and $2.4 billion in FY2021 (+24.3%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2009.
- Compared with a year earlier, Revenue has increased for four straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q2 2026 (growth of 29.8%); the worst was Q4 2021 (a decline of 99.5%).
- Per Business Quant data, FORTY's Revenue in the three quarters before Q2 2026 was $738.29 million (Q1 2026), $708.38 million (Q4 2025) and $696.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 5.08 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 5.48 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 2.59 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 6.57 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 21.56 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 3.03 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 9.99 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 8.30 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 1.41 Bn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 782.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 782.44 Mn |
| Mar 31, 2026 | 738.29 Mn |
| Dec 31, 2025 | 708.38 Mn |
| Sep 30, 2025 | 696.64 Mn |
| Jun 30, 2025 | 602.73 Mn |
| Mar 31, 2025 | 619.38 Mn |
| Dec 31, 2024 | 558.21 Mn |
| Sep 30, 2024 | 563.63 Mn |
| Jun 30, 2024 | 667.68 Mn |
| Mar 31, 2024 | 698.40 Mn |
| Dec 31, 2023 | 640.29 Mn |
| Sep 30, 2023 | 654.84 Mn |
| Jun 30, 2023 | 655.37 Mn |
| Mar 31, 2023 | 670.40 Mn |
| Dec 31, 2022 | 657.07 Mn |
| Sep 30, 2022 | 627.68 Mn |
| Jun 30, 2022 | 636.89 Mn |
| Mar 31, 2022 | 650.72 Mn |
| Dec 31, 2021 | 657.60 Mn |
| Sep 30, 2021 | 586.26 Mn |
API Access
Formula Systems (1985) Revenue 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=revenue&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();