Magic Software Enterprises (RMTHF) Total Current Liabilities (2009 - 2025)
Magic Software Enterprises' Total Current Liabilities came in at $192.77 million for Q3 2025, up 29.3% from $149.1 million a year earlier and up 16.6% from the prior quarter.
Magic Software Enterprises (RMTHF) Total Current Liabilities (2009 - 2025) Analysis & Trends
At the end of FY2024, Magic Software Enterprises' Total Current Liabilities was $170.31 million, up 20.2% from FY2023.
- Total Current Liabilities carries a five-year compound annual growth rate of 20.6% (FY2019 to FY2024).
- Going back by year, Total Current Liabilities was $141.7 million in FY2023 (-9.2%), $156.05 million in FY2022 (+19.3%), $130.78 million in FY2021 (+54.2%) and $84.83 million in FY2020 (+26.8%).
- The Q3 2025 figure represents the highest quarterly Total Current Liabilities in data going back to Q1 2009.
- Year-over-year, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2021 (growth of 63.0%), and the weakest in Q4 2023 (a decline of 9.2%).
- Business Quant data shows RMTHF's Total Current Liabilities at $165.3 million (Q2 2025), $178.51 million (Q1 2025) and $170.31 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 192.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 192.77 Mn |
| Jun 30, 2025 | 165.30 Mn |
| Mar 31, 2025 | 178.51 Mn |
| Dec 31, 2024 | 170.31 Mn |
| Sep 30, 2024 | 149.10 Mn |
| Jun 30, 2024 | 157.76 Mn |
| Mar 31, 2024 | 161.58 Mn |
| Dec 31, 2023 | 141.70 Mn |
| Sep 30, 2023 | 137.45 Mn |
| Jun 30, 2023 | 147.93 Mn |
| Mar 31, 2023 | 172.12 Mn |
| Dec 31, 2022 | 156.05 Mn |
| Sep 30, 2022 | 123.23 Mn |
| Jun 30, 2022 | 106.70 Mn |
| Mar 31, 2022 | 138.98 Mn |
| Dec 31, 2021 | 130.78 Mn |
| Sep 30, 2021 | 95.64 Mn |
| Jun 30, 2021 | 96.94 Mn |
| Mar 31, 2021 | 103.57 Mn |
| Dec 31, 2020 | 84.83 Mn |
Magic Software Enterprises Total 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-current-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();