Magic Software Enterprises (RMTHF) Receivables (2009 - 2025)
Magic Software Enterprises (RMTHF) posted Receivables of $160.53 million for Q3 2025, up 12.2% from $143.11 million a year earlier but down 1.6% from the prior quarter.
Magic Software Enterprises (RMTHF) Receivables (2009 - 2025) Analysis & Trends
At the end of FY2024, Magic Software Enterprises' Receivables came in at $149.08 million, up 27.4% from FY2023.
- Annual Receivables shows a five-year compound annual growth rate of 7.8% (FY2019 to FY2024).
- In prior years, Magic Software Enterprises' Receivables was $117.01 million in FY2023 (-5.6%), $123.92 million in FY2022 (+1.5%), $122.14 million in FY2021 (+25.3%) and $97.49 million in FY2020 (-5.0%).
- Quarterly Receivables has run from a low of $16.19 million in Q4 2021 to a high of $163.12 million in Q2 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with growth averaging 11.9% over the last seven quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2022, with growth of 665.3%; the weakest was Q4 2021, with a decline of 82.5%.
- According to Business Quant data, Receivables for the three prior quarters was $163.12 million (Q2 2025), $144.1 million (Q1 2025) and $149.08 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 160.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 160.53 Mn |
| Jun 30, 2025 | 163.12 Mn |
| Mar 31, 2025 | 144.10 Mn |
| Dec 31, 2024 | 149.08 Mn |
| Sep 30, 2024 | 143.11 Mn |
| Jun 30, 2024 | 132.83 Mn |
| Mar 31, 2024 | 126.33 Mn |
| Dec 31, 2023 | 117.01 Mn |
| Sep 30, 2023 | 121.31 Mn |
| Jun 30, 2023 | 140.66 Mn |
| Dec 31, 2022 | 123.92 Mn |
| Sep 30, 2022 | 148.58 Mn |
| Jun 30, 2022 | 147.70 Mn |
| Mar 31, 2022 | 156.44 Mn |
| Dec 31, 2021 | 16.19 Mn |
| Sep 30, 2021 | 126.28 Mn |
| Jun 30, 2021 | 121.78 Mn |
| Mar 31, 2021 | 116.85 Mn |
| Dec 31, 2020 | 92.60 Mn |
| Sep 30, 2020 | 102.71 Mn |
Magic Software Enterprises Receivables 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=receivables&ticker=RMTHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();