Formula Systems (1985) (FORTY) Profit After Tax (2009 - 2026)
Formula Systems (1985) (FORTY) recorded Profit After Tax of $51.96 million in Q2 2026, up 80.7% from $28.76 million a year earlier but down 16.8% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Profit After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, Formula Systems (1985)'s Profit After Tax came in at $159.52 million as of Jun 30, 2026, up 28.6% year-over-year; for FY2025, it was $105.93 million, down 11.8% from FY2024.
- Annual Profit After Tax has a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Across earlier years, Profit After Tax came in at $120.09 million in FY2024 (+18.4%), $101.42 million in FY2023 (-49.7%), $201.48 million in FY2022 (+42.5%) and $141.4 million in FY2021 (+25.7%).
- Quarterly Profit After Tax has ranged from $11.35 million in Q4 2025 to $74.4 million in Q2 2022 over the past five years.
- On a year-over-year basis, Profit After Tax rose in three of the last eight quarters, with growth averaging 1.0%.
- Peak year-over-year performance for Profit After Tax in the last five years was growth of 120.4% in Q2 2022, against a decline of 62.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $62.46 million (Q1 2026), $11.35 million (Q4 2025) and $33.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 820.00 Mn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 644.00 Mn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | 544.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 273.90 Mn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 416.24 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 336.31 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 272.84 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 126.58 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 102.98 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 51.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.96 Mn |
| Mar 31, 2026 | 62.46 Mn |
| Dec 31, 2025 | 11.35 Mn |
| Sep 30, 2025 | 33.76 Mn |
| Jun 30, 2025 | 28.76 Mn |
| Mar 31, 2025 | 32.06 Mn |
| Dec 31, 2024 | 29.97 Mn |
| Sep 30, 2024 | 33.30 Mn |
| Jun 30, 2024 | 47.56 Mn |
| Mar 31, 2024 | 43.53 Mn |
| Dec 31, 2023 | 40.41 Mn |
| Sep 30, 2023 | 39.34 Mn |
| Jun 30, 2023 | 42.99 Mn |
| Mar 31, 2023 | 42.22 Mn |
| Dec 31, 2022 | 42.37 Mn |
| Sep 30, 2022 | 41.50 Mn |
| Jun 30, 2022 | 74.40 Mn |
| Mar 31, 2022 | 43.21 Mn |
| Dec 31, 2021 | 39.59 Mn |
| Sep 30, 2021 | 35.05 Mn |
API Access
Formula Systems (1985) Profit After Tax 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=profit-after-tax&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();