Formula Systems (1985) (FORTY) Long-Term Investments (2009 - 2026)
Formula Systems (1985) (FORTY) reported Long-Term Investments of $53 million for Q2 2026, down 18.9% from $65.34 million a year earlier but up 9.5% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) posted Long-Term Investments of $50.13 million, up 0.4% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $49.93 million in FY2024 (-4.0%), $52 million in FY2023 (+33.4%), $38.99 million in FY2022 (+34.9%) and $28.9 million in FY2021 (+2.1%).
- Five-year quarterly Long-Term Investments spans a low of -$15.07 million in Q4 2022 and a high of $66.05 million in Q3 2024.
- Year over year, Long-Term Investments gained in three of the last seven quarters, with an average decline of 0.8%.
- The high point for year-over-year Long-Term Investments in five years was Q3 2023 (growth of 95.2%); the low point was Q3 2025 (a decline of 20.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.41 million (Q1 2026), $50.13 million (Q4 2025) and $52.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.84 Bn | 38.34 Bn | 1.60 Bn | 924.00 Mn |
| 2 | Cognizant Technology Solutions | 33.31 Bn | 26.47 Bn | 1.83 Bn | 106.00 Mn |
| 3 | Wipro | 22.16 Bn | 17.30 Bn | 745.00 Mn | 289.00 Mn |
| 4 | Cdw | 20.82 Bn | 18.81 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.46 Bn | 13.62 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.26 Bn | 16.06 Bn | - | - |
| 7 | Arrow Electronics | 10.67 Bn | 9.62 Bn | 1.13 Bn | 62.15 Mn |
| 8 | Avnet | 7.24 Bn | 6.42 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.04 Bn | 2.68 Bn | 429.57 Mn | - |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.07 Bn | 158.43 Mn | 65.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.12 Mn |
| Mar 31, 2026 | 66.12 Mn |
| Dec 31, 2025 | 48.91 Mn |
| Sep 30, 2025 | 37.09 Mn |
| Jun 30, 2025 | 35.67 Mn |
| Mar 31, 2025 | 38.57 Mn |
| Dec 31, 2024 | 39.20 Mn |
| Sep 30, 2024 | 23.85 Mn |
| Jun 30, 2024 | 18.84 Mn |
| Mar 31, 2024 | 19.47 Mn |
| Dec 31, 2023 | 20.80 Mn |
| Sep 30, 2023 | 18.89 Mn |
| Jun 30, 2023 | 19.89 Mn |
| Mar 31, 2023 | 20.19 Mn |
| Dec 31, 2022 | 20.75 Mn |
| Sep 30, 2022 | 26.27 Mn |
| Jun 30, 2022 | 26.63 Mn |
| Mar 31, 2022 | 29.06 Mn |
| Dec 31, 2021 | 28.90 Mn |
| Sep 30, 2021 | 28.58 Mn |
API Access
Formula Systems (1985) Long-Term Investments 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=long-term-investments&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();