Magic Software Enterprises (RMTHF) Operating Leases (2019 - 2025)
Magic Software Enterprises' Operating Leases was $22.44 million in Q3 2025, up 1.0% from $22.21 million a year earlier but down 3.8% from the prior quarter.
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Analysis
Magic Software Enterprises (RMTHF) Operating Leases (2019 - 2025) Analysis & Trends
At the end of FY2024, Operating Leases at Magic Software Enterprises came in at $22.04 million, down 4.6% from FY2023.
- Operating Leases shows a five-year compound annual growth rate of 14.7% (FY2019 to FY2024).
- In earlier years, Operating Leases was $23.1 million in FY2023 (-4.9%), $24.28 million in FY2022 (+10.8%), $21.91 million in FY2021 (+3.8%) and $21.11 million in FY2020 (+89.8%).
- Quarterly Operating Leases has moved between $19.68 million (Q3 2021) and $24.28 million (Q4 2022) over five years.
- Compared with a year earlier, Operating Leases has increased for three straight quarters, with an average decline of 0.7% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q1 2021 (growth of 93.1%); the worst was Q1 2024 (a decline of 13.6%).
- Per Business Quant data, RMTHF's Operating Leases in the three quarters before Q3 2025 was $23.33 million (Q2 2025), $21.05 million (Q1 2025) and $22.04 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 22.44 Mn |
| Jun 30, 2025 | 23.33 Mn |
| Mar 31, 2025 | 21.05 Mn |
| Dec 31, 2024 | 22.04 Mn |
| Sep 30, 2024 | 22.21 Mn |
| Jun 30, 2024 | 22.49 Mn |
| Mar 31, 2024 | 20.07 Mn |
| Dec 31, 2023 | 23.10 Mn |
| Sep 30, 2023 | 21.17 Mn |
| Jun 30, 2023 | 21.80 Mn |
| Mar 31, 2023 | 23.23 Mn |
| Dec 31, 2022 | 24.28 Mn |
| Sep 30, 2022 | 21.54 Mn |
| Jun 30, 2022 | 21.17 Mn |
| Mar 31, 2022 | 19.84 Mn |
| Dec 31, 2021 | 21.91 Mn |
| Sep 30, 2021 | 19.68 Mn |
| Jun 30, 2021 | 19.71 Mn |
| Mar 31, 2021 | 20.20 Mn |
| Dec 31, 2020 | 21.11 Mn |
API Access
Magic Software Enterprises Operating Leases 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=operating-leases&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();