Formula Systems (1985) (FORTY) Total Non-Current Liabilities (2009 - 2026)
Formula Systems (1985)'s Total Non-Current Liabilities was $516.52 million in Q2 2026, down 4.5% from $540.89 million a year earlier and down 1.1% from the prior quarter.
Formula Systems (1985) (FORTY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Formula Systems (1985) came in at $475.12 million, down 2.5% from FY2024.
- Total Non-Current Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $487.08 million in FY2024 (-6.1%), $518.75 million in FY2023 (-15.8%), $616.05 million in FY2022 (-0.8%) and $621.18 million in FY2021 (-1.7%).
- Quarterly Total Non-Current Liabilities has moved between $444.02 million (Q2 2024) and $628.94 million (Q3 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 21.8%); the worst was Q2 2024 (a decline of 22.8%).
- Per Business Quant data, FORTY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $522.21 million (Q1 2026), $475.12 million (Q4 2025) and $459.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.58 Bn | 39.08 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 32.89 Bn | 26.05 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 1.42 Bn |
| 4 | Cdw | 19.67 Bn | 17.66 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Td Synnex | 18.84 Bn | 13.00 Bn | 1.43 Bn | 32.02 Bn |
| 6 | Cgi | 17.89 Bn | 15.68 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 10.34 Bn | 9.28 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.05 Bn | 6.23 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 7.04 Bn | 2.68 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Formula Systems (1985) | 1.76 Bn | -1.14 Bn | 158.43 Mn | 516.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 516.52 Mn |
| Mar 31, 2026 | 522.21 Mn |
| Dec 31, 2025 | 475.12 Mn |
| Sep 30, 2025 | 459.61 Mn |
| Jun 30, 2025 | 540.89 Mn |
| Mar 31, 2025 | 488.19 Mn |
| Dec 31, 2024 | 487.08 Mn |
| Sep 30, 2024 | 507.55 Mn |
| Jun 30, 2024 | 444.02 Mn |
| Mar 31, 2024 | 465.74 Mn |
| Dec 31, 2023 | 518.75 Mn |
| Sep 30, 2023 | 525.95 Mn |
| Jun 30, 2023 | 574.80 Mn |
| Mar 31, 2023 | 578.70 Mn |
| Dec 31, 2022 | 616.05 Mn |
| Sep 30, 2022 | 628.94 Mn |
| Jun 30, 2022 | 525.75 Mn |
| Mar 31, 2022 | 596.06 Mn |
| Dec 31, 2021 | 621.18 Mn |
| Sep 30, 2021 | 622.17 Mn |
Formula Systems (1985) Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();