Formula Systems (1985) (FORTY) Prepaid Assets (2009 - 2026)
Formula Systems (1985) (FORTY) reported Prepaid Assets of $104.18 million for Q2 2026, down 5.0% from $109.61 million a year earlier and down 5.9% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) posted Prepaid Assets of $80.6 million, down 10.3% from FY2024.
- Prepaid Assets has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Prepaid Assets came in at $89.88 million in FY2024 (+6.2%), $84.67 million in FY2023 (+31.2%), $64.54 million in FY2022 (-10.5%) and $72.12 million in FY2021 (-14.0%).
- Five-year quarterly Prepaid Assets spans a low of $64.54 million in Q4 2022 and a high of $110.7 million in Q1 2026.
- Year over year, Prepaid Assets gained in five of the last eight quarters, with growth averaging 5.4%.
- The high point for year-over-year Prepaid Assets in five years was Q4 2023 (growth of 31.2%); the low point was Q4 2021 (a decline of 14.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $110.7 million (Q1 2026), $80.6 million (Q4 2025) and $80.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.85 Bn | -1.05 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.18 Mn |
| Mar 31, 2026 | 110.70 Mn |
| Dec 31, 2025 | 80.60 Mn |
| Sep 30, 2025 | 80.56 Mn |
| Jun 30, 2025 | 109.61 Mn |
| Mar 31, 2025 | 96.89 Mn |
| Dec 31, 2024 | 89.88 Mn |
| Sep 30, 2024 | 86.41 Mn |
| Jun 30, 2024 | 90.27 Mn |
| Mar 31, 2024 | 92.56 Mn |
| Dec 31, 2023 | 84.67 Mn |
| Sep 30, 2023 | 72.91 Mn |
| Jun 30, 2023 | 76.38 Mn |
| Mar 31, 2023 | 80.91 Mn |
| Dec 31, 2022 | 64.54 Mn |
| Sep 30, 2022 | 71.24 Mn |
| Jun 30, 2022 | 70.65 Mn |
| Mar 31, 2022 | 78.60 Mn |
| Dec 31, 2021 | 72.12 Mn |
| Sep 30, 2021 | 75.52 Mn |
API Access
Formula Systems (1985) Prepaid 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=prepaid-assets&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();