Formula Systems (1985) (FORTY) Non-Current Debt (2009 - 2026)
Formula Systems (1985) (FORTY) reported Non-Current Debt of $82.52 million for Q2 2026, down 11.7% from $93.41 million a year earlier but up 4.9% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Non-Current Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) posted Non-Current Debt of $76.7 million, down 11.6% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $86.78 million in FY2024 (+19.1%), $72.89 million in FY2023 (+6.7%), $68.29 million in FY2022 (-66.7%) and $205.04 million in FY2021 (+1.0%).
- Five-year quarterly Non-Current Debt spans a low of $36.4 million in Q2 2022 and a high of $205.04 million in Q4 2021.
- Year over year, Non-Current Debt has now declined in each of the last three quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q2 2023 (growth of 81.3%); the low point was Q4 2022 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $78.7 million (Q1 2026), $76.7 million (Q4 2025) and $75.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 1.53 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.32 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 4.81 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 3.60 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 1.99 Bn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 2.05 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 2.50 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 25.00 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 82.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.52 Mn |
| Mar 31, 2026 | 78.70 Mn |
| Dec 31, 2025 | 118.66 Mn |
| Sep 30, 2025 | 75.31 Mn |
| Jun 30, 2025 | 93.41 Mn |
| Mar 31, 2025 | 87.25 Mn |
| Dec 31, 2024 | 188.09 Mn |
| Sep 30, 2024 | 64.56 Mn |
| Jun 30, 2024 | 64.21 Mn |
| Mar 31, 2024 | 74.57 Mn |
| Dec 31, 2023 | 231.54 Mn |
| Sep 30, 2023 | 73.23 Mn |
| Jun 30, 2023 | 66.01 Mn |
| Mar 31, 2023 | 76.69 Mn |
| Dec 31, 2022 | 305.63 Mn |
| Sep 30, 2022 | 60.31 Mn |
| Jun 30, 2022 | 36.40 Mn |
| Mar 31, 2022 | 48.95 Mn |
| Dec 31, 2021 | 205.04 Mn |
| Sep 30, 2021 | 48.79 Mn |
API Access
Formula Systems (1985) Non-Current Debt 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=non-current-debt&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();