Magic Software Enterprises (RMTHF) Operating Expenses (2009 - 2025)
Magic Software Enterprises (RMTHF) posted Operating Expenses of $27.09 million for Q3 2025, up 10.1% from $24.61 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Magic Software Enterprises (RMTHF) Operating Expenses (2009 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Magic Software Enterprises was $103.97 million, up 9.8% year-over-year; for FY2024, it came in at $95.94 million, up 0.1% from FY2023.
- Annual Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 7.0% (FY2019 to FY2024).
- In prior years, Magic Software Enterprises' Operating Expenses was $95.88 million in FY2023 (+2.4%), $93.59 million in FY2022 (+14.5%), $81.76 million in FY2021 (+18.5%) and $69 million in FY2020 (+0.8%).
- The Q3 2025 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2021, with growth of 34.5%; the weakest was Q4 2023, with a decline of 13.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $26.73 million (Q2 2025), $24.89 million (Q1 2025) and $25.26 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 27.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 27.09 Mn |
| Jun 30, 2025 | 26.73 Mn |
| Mar 31, 2025 | 24.89 Mn |
| Dec 31, 2024 | 25.26 Mn |
| Sep 30, 2024 | 24.61 Mn |
| Jun 30, 2024 | 23.80 Mn |
| Mar 31, 2024 | 22.27 Mn |
| Dec 31, 2023 | 23.98 Mn |
| Sep 30, 2023 | 23.51 Mn |
| Jun 30, 2023 | 24.86 Mn |
| Mar 31, 2023 | 23.54 Mn |
| Dec 31, 2022 | 27.64 Mn |
| Sep 30, 2022 | 22.88 Mn |
| Jun 30, 2022 | 21.62 Mn |
| Mar 31, 2022 | 21.45 Mn |
| Dec 31, 2021 | 23.09 Mn |
| Sep 30, 2021 | 20.58 Mn |
| Jun 30, 2021 | 20.11 Mn |
| Mar 31, 2021 | 17.98 Mn |
| Dec 31, 2020 | 19.92 Mn |
API Access
Magic Software Enterprises Operating 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=operating-expenses&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();