Formula Systems (1985) (FORTY) Property, Plant & Equipment (Net) (2009 - 2026)
Formula Systems (1985)'s Property, Plant & Equipment (Net) came in at $59.46 million for Q2 2026, up 6.2% from $55.99 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985)'s Property, Plant & Equipment (Net) was $47.61 million, down 8.1% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last five years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $51.8 million in FY2024 (-2.1%), $52.93 million in FY2023 (-3.7%), $54.97 million in FY2022 (-3.4%) and $56.89 million in FY2021 (-3.9%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2009.
- Year-over-year, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2025 (growth of 12.6%), and the weakest in Q3 2025 (a decline of 10.7%).
- Business Quant data shows FORTY's Property, Plant & Equipment (Net) at $54.84 million (Q1 2026), $47.61 million (Q4 2025) and $45.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 130.71 Bn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | 851.00 Mn |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | 565.11 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 253.96 Mn |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | 460.82 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 644.60 Mn |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.10 Bn | 158.43 Mn | 59.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.46 Mn |
| Mar 31, 2026 | 54.84 Mn |
| Dec 31, 2025 | 47.61 Mn |
| Sep 30, 2025 | 45.89 Mn |
| Jun 30, 2025 | 55.99 Mn |
| Mar 31, 2025 | 51.85 Mn |
| Dec 31, 2024 | 51.80 Mn |
| Sep 30, 2024 | 51.37 Mn |
| Jun 30, 2024 | 49.73 Mn |
| Mar 31, 2024 | 51.27 Mn |
| Dec 31, 2023 | 52.93 Mn |
| Sep 30, 2023 | 50.72 Mn |
| Jun 30, 2023 | 53.88 Mn |
| Mar 31, 2023 | 54.32 Mn |
| Dec 31, 2022 | 54.97 Mn |
| Sep 30, 2022 | 53.47 Mn |
| Jun 30, 2022 | 53.10 Mn |
| Mar 31, 2022 | 56.03 Mn |
| Dec 31, 2021 | 56.89 Mn |
| Sep 30, 2021 | 56.68 Mn |
API Access
Formula Systems (1985) Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();