Magic Software Enterprises (RMTHF) EBITDA (2016 - 2025)
Magic Software Enterprises' EBITDA came in at $22.03 million for Q3 2025, up 8.3% from $20.34 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Magic Software Enterprises (RMTHF) EBITDA (2016 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Magic Software Enterprises reported EBITDA of $86.5 million, up 10.9% year-over-year; for FY2024, it was $82 million, up 5.6% from FY2023.
- EBITDA carries a five-year compound annual growth rate of 11.5% (FY2019 to FY2024).
- Going back by year, EBITDA was $77.66 million in FY2023 (-4.8%), $81.56 million in FY2022 (+13.3%), $71.96 million in FY2021 (+32.0%) and $54.53 million in FY2020 (+14.4%).
- The five-year range for quarterly EBITDA is $14.81 million (Q4 2020) to $23.18 million (Q4 2021).
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 56.5%), and the weakest in Q4 2022 (a decline of 17.5%).
- Business Quant data shows RMTHF's EBITDA at $21.36 million (Q2 2025), $21.02 million (Q1 2025) and $22.09 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 22.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 22.03 Mn |
| Jun 30, 2025 | 21.36 Mn |
| Mar 31, 2025 | 21.02 Mn |
| Dec 31, 2024 | 22.09 Mn |
| Sep 30, 2024 | 20.34 Mn |
| Jun 30, 2024 | 20.26 Mn |
| Mar 31, 2024 | 19.32 Mn |
| Dec 31, 2023 | 18.12 Mn |
| Sep 30, 2023 | 18.83 Mn |
| Jun 30, 2023 | 20.31 Mn |
| Mar 31, 2023 | 20.40 Mn |
| Dec 31, 2022 | 19.12 Mn |
| Sep 30, 2022 | 21.01 Mn |
| Jun 30, 2022 | 20.39 Mn |
| Mar 31, 2022 | 21.04 Mn |
| Dec 31, 2021 | 23.18 Mn |
| Sep 30, 2021 | 16.00 Mn |
| Jun 30, 2021 | 16.18 Mn |
| Mar 31, 2021 | 15.71 Mn |
| Dec 31, 2020 | 14.81 Mn |
API Access
Magic Software Enterprises EBITDA 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=ebitda&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();