Formula Systems (1985) (FORTY) Total Current Liabilities (2009 - 2026)
Formula Systems (1985)'s Total Current Liabilities was $1.33 billion in Q2 2026, up 11.7% from $1.19 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Total Current Liabilities (2009 - 2026) Analysis & Trends
From Q1 2009 onward, Formula Systems (1985) has reported Total Current Liabilities for 68 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $1.14 billion in FY2024 (+15.5%), $985.66 million in FY2023 (-1.5%), $1 billion in FY2022 (+5.6%) and $947.6 million in FY2021 (+21.5%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q1 2009.
- Compared with a year earlier, Total Current Liabilities has increased for ten straight quarters, with growth averaging 16.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 38.9%); the worst was Q1 2023 (a decline of 5.0%).
- Per Business Quant data, FORTY's Total Current Liabilities in the three quarters before Q2 2026 was $1.29 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.29 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 4.47 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 8.30 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 27.61 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 3.77 Bn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 28.74 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 7.50 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Bn |
| Mar 31, 2026 | 1.29 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.19 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 981.43 Mn |
| Jun 30, 2024 | 931.70 Mn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 985.66 Mn |
| Sep 30, 2023 | 904.47 Mn |
| Jun 30, 2023 | 923.96 Mn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 916.71 Mn |
| Jun 30, 2022 | 920.68 Mn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 947.60 Mn |
| Sep 30, 2021 | 861.57 Mn |
API Access
Formula Systems (1985) Total 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-current-liabilities&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();