Magic Software Enterprises (RMTHF) Interest Expenses (2011 - 2025)
Magic Software Enterprises' Interest Expenses came in at -$5.62 million for Q2 2025, compared with -$3.73 million a year earlier.
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Analysis
Magic Software Enterprises (RMTHF) Interest Expenses (2011 - 2025) Analysis & Trends
Over the trailing twelve months to Jun 30, 2025, Magic Software Enterprises reported Interest Expenses of -$15.6 million; for FY2024, it was -$9.1 million.
- Going back by year, Interest Expenses was -$9.23 million in FY2023, -$4.99 million in FY2022 and -$3.8 million in FY2021.
- The Q2 2025 figure represents the lowest quarterly Interest Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 1.43 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | - |
| 10 | Magic Software Enterprises | 1.50 Bn | 1.12 Bn | 44.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -5.62 Mn |
| Jun 30, 2024 | -3.73 Mn |
| Dec 31, 2021 | -7.33 Mn |
| Sep 30, 2021 | 1.08 Mn |
| Mar 31, 2021 | 1.15 Mn |
| Sep 30, 2020 | -589,000.00 |
| Mar 31, 2020 | -517,000.00 |
| Mar 31, 2019 | 71,000.00 |
| Mar 31, 2018 | 3,000.00 |
| Sep 30, 2013 | -74,000.00 |
| Sep 30, 2012 | 15,000.00 |
| Jun 30, 2012 | -234,000.00 |
| Jun 30, 2011 | 149,000.00 |
API Access
Magic Software Enterprises 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=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "RMTHF", "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=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();