Formula Systems (1985) (FORTY) Short term Debt (2010 - 2026)
Formula Systems (1985) (FORTY) reported Short term Debt of $61.21 million for Q4 2025, up 16.8% from $52.42 million a year earlier.
Analysis
Formula Systems (1985) (FORTY) Short term Debt (2010 - 2026) Analysis & Trends
Dating back to Q4 2010, Formula Systems (1985)'s Short term Debt record includes 23 quarters.
- Short term Debt has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- By year, Short term Debt came in at $52.42 million in FY2024 (+45.7%), $35.99 million in FY2023 (-40.5%), $60.5 million in FY2022 (+52.9%) and $39.56 million in FY2021 (+10.4%).
- The Q4 2025 figure ranks as the highest quarterly Short term Debt since Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.63 Mn |
| Mar 31, 2026 | 79.00 Mn |
| Dec 31, 2025 | 61.21 Mn |
| Sep 30, 2025 | 61.40 Mn |
| Jun 30, 2025 | 56.88 Mn |
| Mar 31, 2025 | 53.85 Mn |
| Dec 31, 2024 | 52.42 Mn |
| Sep 30, 2024 | 50.64 Mn |
| Jun 30, 2024 | 49.40 Mn |
| Mar 31, 2024 | 49.34 Mn |
| Dec 31, 2023 | 35.99 Mn |
| Sep 30, 2023 | 42.18 Mn |
| Jun 30, 2023 | 51.19 Mn |
| Mar 31, 2023 | 60.30 Mn |
| Dec 31, 2022 | 60.50 Mn |
| Sep 30, 2022 | 53.25 Mn |
| Jun 30, 2022 | 43.68 Mn |
| Mar 31, 2022 | 40.02 Mn |
| Dec 31, 2021 | 39.56 Mn |
| Sep 30, 2021 | 35.40 Mn |
API Access
Formula Systems (1985) Short term 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=short-term-debt&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();