Formula Systems (1985) (FORTY) Times Interest Earned (2017 - 2019)
Formula Systems (1985)'s (FORTY) Times Interest Earned was 3.09 for FY2025, down 11.1% from 3.47 in FY2024.
Analysis
Formula Systems (1985) (FORTY) Times Interest Earned (2017 - 2019) Analysis & Trends
Dating back to FY2009, Formula Systems (1985)'s Times Interest Earned record includes 17 years.
- Five-year annual Times Interest Earned spans a low of 2.92 in FY2023 and a high of 7.47 in FY2022.
- According to Business Quant data, Times Interest Earned came in at 3.47 in FY2024 (+19.1%), 2.92 in FY2023 (-60.9%), 7.47 in FY2022 (+7.7%) and 6.94 in FY2021 (+19.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn | 82.46 |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn | 67.23 |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn | 4.57 |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - | 21.76 |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn | 3.48 |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn | - |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.07 Bn | 158.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 2.42 |
| Dec 31, 2018 | 4.81 |
| Sep 30, 2018 | 6.02 |
| Jun 30, 2018 | 2.45 |
| Dec 31, 2017 | 1.57 |
| Sep 30, 2017 | 6.10 |
API Access
Formula Systems (1985) Times Interest Earned 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=times-interest-earned&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();