Formula Systems (1985) (FORTY) Non-Current Assets (2010 - 2026)
Formula Systems (1985)'s Non-Current Assets was $1.54 billion in Q2 2026, down 12.1% from $1.75 billion a year earlier but up 5.1% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Formula Systems (1985) came in at $1.42 billion, down 7.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 86.6% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $1.53 billion in FY2024 (+6.3%), $1.44 billion in FY2023 (+1.0%), $1.42 billion in FY2022 (-1.7%) and $1.45 billion in FY2021.
- Quarterly Non-Current Assets has moved between $68.85 million (Q3 2021) and $1.75 billion (Q2 2025) over five years.
- Compared with a year earlier, Non-Current Assets has declined for four straight quarters, with growth averaging 0.9% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2025 (growth of 25.1%); the worst was Q3 2025 (a decline of 13.8%).
- Per Business Quant data, FORTY's Non-Current Assets in the three quarters before Q2 2026 was $1.46 billion (Q1 2026), $1.42 billion (Q4 2025) and $1.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 6.60 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 8.95 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | -10.59 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 3.39 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 2.09 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 74.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.46 Mn |
| Mar 31, 2026 | 1.46 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.75 Bn |
| Mar 31, 2025 | 1.56 Bn |
| Dec 31, 2024 | 1.53 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.40 Bn |
| Mar 31, 2024 | 1.43 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 1.42 Bn |
| Dec 31, 2022 | 1.42 Bn |
| Sep 30, 2022 | 1.41 Bn |
| Jun 30, 2022 | 1.39 Bn |
| Mar 31, 2022 | 74.58 Mn |
| Dec 31, 2021 | 1.45 Bn |
| Sep 30, 2021 | 68.85 Mn |
API Access
Formula Systems (1985) Non-Current Assets 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=non-current-assets&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();