Formula Systems (1985) (FORTY) Prepaid Assets (2009 - 2026)
Formula Systems (1985)'s (FORTY) quarterly Prepaid Assets came in at $104.2 million in Q2 2026, down 4.96% on a YoY basis from $109.6 million in Q2 2025, and down 5.89% quarter-over-quarter from $110.7 million in Q1 2026.
Formula Systems (1985) (FORTY) Prepaid Assets (2009 - 2026) Analysis & Trends
Formula Systems (1985) (FORTY) has reported Prepaid Assets for 18 consecutive years, with $104.2 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets fell 4.96% year-over-year to $104.2 million; the trailing twelve-month figure through Jun 2026 stood at $104.2 million (down 4.96% YoY), and the FY2025 full-year result was $80.6 million, down 10.32% from the prior year.
- Prepaid Assets slipped to $104.2 million in Q2 2026 per FORTY's latest filing, from $110.7 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $110.7 million in Q1 2026 and bottomed at $64.5 million in Q4 2022.
- Historically, Prepaid Assets has averaged $85.6 million across 5 years, with a median of $82.8 million in 2023.
- The sharpest annual moves came in 2022 and 2023: Prepaid Assets dropped 11.24% in 2022, then soared 31.2% in 2023.
- Over 5 years, Prepaid Assets stood at $64.5 million in 2022, then surged by 31.2% to $84.7 million in 2023, then grew by 6.16% to $89.9 million in 2024, then declined by 10.32% to $80.6 million in 2025, then rose by 29.25% to $104.2 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $104.2 million, $110.7 million, and $80.6 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
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 |
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_KEY
import 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();