Formula Systems (1985) (FORTY) Interest Expenses (2017 - 2019)
Formula Systems (1985) (FORTY) posted Interest Expenses of $63.59 million for FY2025, up 20.5% from $52.79 million in FY2024.
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Analysis
Formula Systems (1985) (FORTY) Interest Expenses (2017 - 2019) Analysis & Trends
Since FY2009, Formula Systems (1985) has reported Interest Expenses for 17 years.
- Annual Interest Expenses shows a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Interest Expenses in data going back to FY2009.
- Business Quant data shows FORTY's Interest Expenses at $52.79 million in FY2024 (-2.6%), $54.19 million in FY2023 (+46.2%), $37.05 million in FY2022 (+23.5%) and $29.99 million in FY2021 (+1.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.32 Bn | 39.82 Bn | 1.60 Bn | 13.00 Mn |
| 2 | Cognizant Technology Solutions | 33.50 Bn | 26.66 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | -92.83 Mn |
| 4 | Cdw | 20.11 Bn | 18.10 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 18.92 Bn | 13.08 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.09 Bn | 15.89 Bn | - | 22.08 Mn |
| 7 | Arrow Electronics | 10.50 Bn | 9.44 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 7.16 Bn | 2.80 Bn | 429.57 Mn | - |
| 9 | Avnet | 7.08 Bn | 6.26 Bn | 865.03 Mn | 66.46 Mn |
| 10 | Formula Systems (1985) | 1.76 Bn | -1.14 Bn | 158.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 13.54 Mn |
| Dec 31, 2018 | 6.75 Mn |
| Sep 30, 2018 | 4.41 Mn |
| Jun 30, 2018 | 10.13 Mn |
| Dec 31, 2017 | 12.59 Mn |
| Sep 30, 2017 | 3.59 Mn |
API Access
Formula Systems (1985) Interest Expenses 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=interest-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();