Magic Software Enterprises (RMTHF) Total Liabilities (2009 - 2025)
Magic Software Enterprises (RMTHF) recorded Total Liabilities of $258.98 million in Q3 2025, up 16.8% from $221.74 million a year earlier and up 8.2% from the prior quarter.
Powered by 
Analysis
Magic Software Enterprises (RMTHF) Total Liabilities (2009 - 2025) Analysis & Trends
At the end of FY2024, Magic Software Enterprises reported Total Liabilities of $239.26 million, up 3.4% from FY2023.
- Annual Total Liabilities has increased for six straight years, with a five-year compound annual growth rate of 11.3% (FY2019 to FY2024).
- Across earlier years, Total Liabilities came in at $231.46 million in FY2023 (+1.2%), $228.83 million in FY2022 (+8.1%), $211.72 million in FY2021 (+18.3%) and $178.98 million in FY2020 (+27.9%).
- The Q3 2025 figure is the highest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities has increased for four consecutive quarters, with growth averaging 1.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 52.8% in Q1 2021, against a decline of 6.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $239.36 million (Q2 2025), $241.07 million (Q1 2025) and $239.26 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 258.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 258.98 Mn |
| Jun 30, 2025 | 239.36 Mn |
| Mar 31, 2025 | 241.07 Mn |
| Dec 31, 2024 | 239.26 Mn |
| Sep 30, 2024 | 221.74 Mn |
| Jun 30, 2024 | 232.91 Mn |
| Mar 31, 2024 | 240.03 Mn |
| Dec 31, 2023 | 231.46 Mn |
| Sep 30, 2023 | 232.40 Mn |
| Jun 30, 2023 | 242.15 Mn |
| Mar 31, 2023 | 251.97 Mn |
| Dec 31, 2022 | 228.83 Mn |
| Sep 30, 2022 | 234.05 Mn |
| Jun 30, 2022 | 226.98 Mn |
| Mar 31, 2022 | 268.45 Mn |
| Dec 31, 2021 | 211.72 Mn |
| Sep 30, 2021 | 201.49 Mn |
| Jun 30, 2021 | 202.76 Mn |
| Mar 31, 2021 | 192.21 Mn |
| Dec 31, 2020 | 178.98 Mn |
API Access
Magic Software Enterprises Total Liabilities 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-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();