Formula Systems (1985) (FORTY) Inventory (2009 - 2026)
Formula Systems (1985) (FORTY) reported Inventory of $51.79 million for Q2 2026, up 7.7% from $48.1 million a year earlier and up 42.6% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) posted Inventory of $30.25 million, down 1.6% from FY2024.
- Inventory has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- By year, Inventory came in at $30.73 million in FY2024 (-26.9%), $42.01 million in FY2023 (+19.4%), $35.18 million in FY2022 (+65.8%) and $21.22 million in FY2021 (-11.5%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q1 2009.
- Year over year, Inventory gained in three of the last eight quarters, with growth averaging 2.4%.
- The high point for year-over-year Inventory in five years was Q2 2022 (growth of 90.4%); the low point was Q3 2024 (a decline of 27.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.3 million (Q1 2026), $30.25 million (Q4 2025) and $26.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 9.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 981.80 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 15.29 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 5.94 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 6.07 Bn |
| 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 | 51.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.79 Mn |
| Mar 31, 2026 | 36.30 Mn |
| Dec 31, 2025 | 30.25 Mn |
| Sep 30, 2025 | 26.27 Mn |
| Jun 30, 2025 | 48.10 Mn |
| Mar 31, 2025 | 27.77 Mn |
| Dec 31, 2024 | 30.73 Mn |
| Sep 30, 2024 | 27.04 Mn |
| Jun 30, 2024 | 30.19 Mn |
| Mar 31, 2024 | 34.56 Mn |
| Dec 31, 2023 | 42.01 Mn |
| Sep 30, 2023 | 37.16 Mn |
| Jun 30, 2023 | 39.37 Mn |
| Mar 31, 2023 | 38.63 Mn |
| Dec 31, 2022 | 35.18 Mn |
| Sep 30, 2022 | 36.07 Mn |
| Jun 30, 2022 | 36.74 Mn |
| Mar 31, 2022 | 33.50 Mn |
| Dec 31, 2021 | 21.22 Mn |
| Sep 30, 2021 | 21.14 Mn |
API Access
Formula Systems (1985) Inventory 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=inventory&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();