Magic Software Enterprises (RMTHF) Total Debt (2009 - 2025)
Magic Software Enterprises (RMTHF) posted Total Debt of $69.21 million for Q3 2025, up 5.2% from $65.76 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Magic Software Enterprises (RMTHF) Total Debt (2009 - 2025) Analysis & Trends
At the end of FY2024, Magic Software Enterprises' Total Debt came in at $116.92 million, down 26.0% from FY2023.
- Annual Total Debt shows a five-year compound annual growth rate of 33.0% (FY2019 to FY2024).
- In prior years, Magic Software Enterprises' Total Debt was $157.91 million in FY2023 (+58.2%), $99.8 million in FY2022 (+167.8%), $37.26 million in FY2021 (+6.0%) and $35.15 million in FY2020 (+24.9%).
- Quarterly Total Debt has run from a low of $23.01 million in Q1 2021 to a high of $157.91 million in Q4 2023 over five years.
- On a year-over-year basis, Total Debt increased in four of the last eight quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2022, with growth of 167.8%; the weakest was Q1 2025, with a decline of 28.2%.
- According to Business Quant data, Total Debt for the three prior quarters was $70.1 million (Q2 2025), $56.31 million (Q1 2025) and $116.92 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 125.34 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 15.56 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.08 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.29 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.71 Bn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 69.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 69.21 Mn |
| Jun 30, 2025 | 70.10 Mn |
| Mar 31, 2025 | 56.31 Mn |
| Dec 31, 2024 | 116.92 Mn |
| Sep 30, 2024 | 65.76 Mn |
| Jun 30, 2024 | 64.86 Mn |
| Mar 31, 2024 | 78.39 Mn |
| Dec 31, 2023 | 157.91 Mn |
| Sep 30, 2023 | 87.86 Mn |
| Jun 30, 2023 | 89.60 Mn |
| Mar 31, 2023 | 67.45 Mn |
| Dec 31, 2022 | 99.80 Mn |
| Sep 30, 2022 | 59.11 Mn |
| Jun 30, 2022 | 56.48 Mn |
| Mar 31, 2022 | 60.00 Mn |
| Dec 31, 2021 | 37.26 Mn |
| Sep 30, 2021 | 43.09 Mn |
| Jun 30, 2021 | 37.17 Mn |
| Mar 31, 2021 | 23.01 Mn |
| Dec 31, 2020 | 35.15 Mn |
API Access
Magic Software Enterprises Total 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=total-debt&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();