Formula Systems (1985) (FORTY) Research & Development (2009 - 2026)
Formula Systems (1985) (FORTY) posted Research & Development of $5.75 million for Q2 2026, up 15.3% from $4.99 million a year earlier and up 11.3% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Formula Systems (1985) was $21.15 million, up 2.9% year-over-year; for FY2025, it came in at $20.02 million, up 10.8% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- In prior years, Formula Systems (1985)'s Research & Development was $18.08 million in FY2024 (+24.7%), $14.49 million in FY2023 (-79.9%), $72.13 million in FY2022 (+9.5%) and $65.86 million in FY2021 (+25.2%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in three of the last eight quarters, with an average decline of 35.1%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2021, with growth of 25.9%; the weakest was Q3 2024, with a decline of 77.0%.
- According to Business Quant data, Research & Development for the three prior quarters was $5.17 million (Q1 2026), $5.29 million (Q4 2025) and $4.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | - |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | - |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | - |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | - |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 5.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.75 Mn |
| Mar 31, 2026 | 5.17 Mn |
| Dec 31, 2025 | 5.29 Mn |
| Sep 30, 2025 | 4.94 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 6.23 Mn |
| Sep 30, 2024 | 4.53 Mn |
| Jun 30, 2024 | 20.43 Mn |
| Mar 31, 2024 | 20.22 Mn |
| Dec 31, 2023 | 19.75 Mn |
| Sep 30, 2023 | 19.70 Mn |
| Jun 30, 2023 | 19.21 Mn |
| Mar 31, 2023 | 19.31 Mn |
| Dec 31, 2022 | 18.87 Mn |
| Sep 30, 2022 | 18.06 Mn |
| Jun 30, 2022 | 17.85 Mn |
| Mar 31, 2022 | 17.35 Mn |
| Dec 31, 2021 | 16.74 Mn |
| Sep 30, 2021 | 16.80 Mn |
API Access
Formula Systems (1985) Research & Development 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=research-and-development&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();