Formula Systems (1985) (FORTY) Assets (2010 - 2026)
Formula Systems (1985)'s (FORTY) quarterly Assets came in at $3.5 billion in Q2 2026, up 9.68% on a YoY basis from $3.2 billion in Q2 2025, and down 3.63% quarter-over-quarter from $3.6 billion in Q1 2026.
Formula Systems (1985) (FORTY) Assets (2010 - 2026) Analysis & Trends
Formula Systems (1985) (FORTY) has reported Assets for 17 consecutive years, with $3.5 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Assets rose 9.68% year-over-year to $3.5 billion; the trailing twelve-month figure through Jun 2026 stood at $3.5 billion (up 9.68% YoY), and the FY2025 full-year result was $3.6 billion, up 18.85% from the prior year.
- Assets declined to $3.5 billion in Q2 2026 per FORTY's latest filing, from $3.6 billion in the prior quarter.
- Across five years, Assets topped out at $3.6 billion in Q1 2026 and bottomed at $2.6 billion in Q2 2022.
- Historically, Assets has averaged $3.0 billion across 5 years, with a median of $2.8 billion in 2022.
- The sharpest annual moves came in 2023 and 2026: Assets declined 2.02% in 2023, then rose 19.46% in 2026.
- Over 5 years, Assets stood at $2.8 billion in 2022, then increased by 0.67% to $2.8 billion in 2023, then gained by 7.19% to $3.0 billion in 2024, then rose by 18.85% to $3.6 billion in 2025, then decreased by 2.16% to $3.5 billion in 2026.
- According to Business Quant data, Assets over the past three periods registered $3.5 billion, $3.6 billion, and $3.6 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 16.36 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 20.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 3.74 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 4.57 Bn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 5.42 Bn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 1.75 Bn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 12.03 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 356.67 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 3.51 Bn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 12.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.51 Bn |
| Mar 31, 2026 | 3.64 Bn |
| Dec 31, 2025 | 3.58 Bn |
| Sep 30, 2025 | 3.33 Bn |
| Jun 30, 2025 | 3.20 Bn |
| Mar 31, 2025 | 3.05 Bn |
| Dec 31, 2024 | 3.01 Bn |
| Sep 30, 2024 | 2.85 Bn |
| Jun 30, 2024 | 2.70 Bn |
| Mar 31, 2024 | 2.81 Bn |
| Dec 31, 2023 | 2.81 Bn |
| Sep 30, 2023 | 2.66 Bn |
| Jun 30, 2023 | 2.73 Bn |
| Mar 31, 2023 | 2.77 Bn |
| Dec 31, 2022 | 2.79 Bn |
| Sep 30, 2022 | 2.69 Bn |
| Jun 30, 2022 | 2.61 Bn |
| Mar 31, 2022 | 2.83 Bn |
| Dec 31, 2021 | 2.75 Bn |
| Sep 30, 2021 | 2.62 Bn |
Formula Systems (1985) 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=assets&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();