Formula Systems (1985) (FORTY) Gross Margin (2009 - 2026)
Formula Systems (1985) (FORTY) reported Gross Margin of 20.25% for Q2 2026, down 0.18 percentage points from 20.43% a year earlier but up 0.47 percentage points from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Gross Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Formula Systems (1985)'s Gross Margin came in at 19.83%, down 0.41 percentage points year-over-year; for FY2025, it was 19.76%, down 0.33 percentage points from FY2024.
- Gross Margin has a five-year change of -3.37 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 20.09% in FY2024 (+0.14 pp), 19.96% in FY2023 (-4.24 pp), 24.20% in FY2022 (+0.75 pp) and 23.45% in FY2021 (+0.32 pp).
- Five-year quarterly Gross Margin spans a low of 19.41% in Q1 2025 and a high of 5521.99% in Q4 2021.
- Year over year, Gross Margin gained in 1 of the last eight quarters, with an average year-over-year change of -2.34 percentage points.
- The high point for year-over-year Gross Margin in five years was Q4 2021 (a gain of 5498.98 percentage points); the low point was Q4 2022 (a drop of 5497.20 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 19.78% (Q1 2026), 19.78% (Q4 2025) and 19.48% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.25 Bn | 38.75 Bn | 1.60 Bn | 31.48% |
| 2 | Cognizant Technology Solutions | 32.29 Bn | 25.45 Bn | 1.83 Bn | 33.37% |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn | 28.84% |
| 4 | Cdw | 20.08 Bn | 18.07 Bn | 1.32 Bn | 20.08% |
| 5 | Td Synnex | 20.01 Bn | 14.17 Bn | 1.43 Bn | 6.61% |
| 6 | Cgi | 17.71 Bn | 15.51 Bn | - | - |
| 7 | Arrow Electronics | 11.23 Bn | 10.17 Bn | 1.13 Bn | 11.26% |
| 8 | Avnet | 7.63 Bn | 6.81 Bn | 865.03 Mn | 10.43% |
| 9 | EPAM Systems | 6.97 Bn | 2.60 Bn | 429.57 Mn | 30.36% |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 20.25% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.25% |
| Mar 31, 2026 | 19.78% |
| Dec 31, 2025 | 19.78% |
| Sep 30, 2025 | 19.48% |
| Jun 30, 2025 | 20.43% |
| Mar 31, 2025 | 19.41% |
| Dec 31, 2024 | 21.73% |
| Sep 30, 2024 | 19.51% |
| Jun 30, 2024 | 24.93% |
| Mar 31, 2024 | 23.51% |
| Dec 31, 2023 | 25.18% |
| Sep 30, 2023 | 24.37% |
| Jun 30, 2023 | 24.56% |
| Mar 31, 2023 | 24.15% |
| Dec 31, 2022 | 24.79% |
| Sep 30, 2022 | 24.57% |
| Jun 30, 2022 | 23.47% |
| Mar 31, 2022 | 23.95% |
| Dec 31, 2021 | 23.68% |
| Sep 30, 2021 | 24.16% |
API Access
Formula Systems (1985) Gross Margin 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-margin&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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-margin&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();