Jocom Holdings (JOCM) EBITDA Margin (2022 - 2023)
Jocom Holdings (JOCM) posted EBITDA Margin of -408.80% for Q4 2023, up 712.73 percentage points from -1121.53% a year earlier and up 328.08 percentage points from the prior quarter.
Jocom Holdings (JOCM) EBITDA Margin (2022 - 2023) Analysis & Trends
For FY2023, Jocom Holdings' EBITDA Margin came in at -722.56%, down 245.16 percentage points from FY2022.
- In prior years, Jocom Holdings' EBITDA Margin was -477.40% in FY2022.
- The Q4 2023 figure stands as the highest quarterly EBITDA Margin since Q3 2022.
- On a year-over-year basis, EBITDA Margin increased in 1 of the last four quarters, with an average year-over-year change of -245.16 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -736.88% (Q3 2023), -983.08% (Q2 2023) and -761.47% (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 52.36% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,798.02% |
| 10 | Jocom Holdings | 77.50 Mn | 77.47 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -408.80% |
| Sep 30, 2023 | -736.88% |
| Jun 30, 2023 | -983.08% |
| Mar 31, 2023 | -761.47% |
| Dec 31, 2022 | -1,121.53% |
| Sep 30, 2022 | -197.86% |
| Jun 30, 2022 | -655.15% |
| Mar 31, 2022 | 64.94% |
Jocom Holdings EBITDA Margin 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-margin&ticker=JOCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "JOCM", "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-margin&ticker=JOCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();