Magic Software Enterprises (RMTHF) Total Non-Current Liabilities (2009 - 2025)
Magic Software Enterprises' Total Non-Current Liabilities was $66.21 million in Q3 2025, down 8.8% from $72.64 million a year earlier and down 10.6% from the prior quarter.
Magic Software Enterprises (RMTHF) Total Non-Current Liabilities (2009 - 2025) Analysis & Trends
At the end of FY2024, Total Non-Current Liabilities at Magic Software Enterprises came in at $68.96 million, down 23.2% from FY2023.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.2% (FY2019 to FY2024).
- In earlier years, Total Non-Current Liabilities was $89.76 million in FY2023 (+23.3%), $72.78 million in FY2022 (-10.1%), $80.94 million in FY2021 (+18.0%) and $68.57 million in FY2020 (+34.2%).
- Quarterly Total Non-Current Liabilities has moved between $62.56 million (Q1 2025) and $100.34 million (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for seven straight quarters, with an average decline of 9.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2022 (growth of 57.2%); the worst was Q3 2024 (a decline of 23.5%).
- Per Business Quant data, RMTHF's Total Non-Current Liabilities in the three quarters before Q3 2025 was $74.06 million (Q2 2025), $62.56 million (Q1 2025) and $68.96 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 188.55 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.34 Mn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 66.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 66.21 Mn |
| Jun 30, 2025 | 74.06 Mn |
| Mar 31, 2025 | 62.56 Mn |
| Dec 31, 2024 | 68.96 Mn |
| Sep 30, 2024 | 72.64 Mn |
| Jun 30, 2024 | 75.15 Mn |
| Mar 31, 2024 | 78.45 Mn |
| Dec 31, 2023 | 89.76 Mn |
| Sep 30, 2023 | 94.95 Mn |
| Jun 30, 2023 | 94.22 Mn |
| Mar 31, 2023 | 79.85 Mn |
| Dec 31, 2022 | 72.78 Mn |
| Sep 30, 2022 | 83.55 Mn |
| Jun 30, 2022 | 91.91 Mn |
| Mar 31, 2022 | 100.34 Mn |
| Dec 31, 2021 | 80.94 Mn |
| Sep 30, 2021 | 80.90 Mn |
| Jun 30, 2021 | 80.22 Mn |
| Mar 31, 2021 | 63.84 Mn |
| Dec 31, 2020 | 68.57 Mn |
Magic Software Enterprises Total Non-Current 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-non-current-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();