D-MARKET Electronic Services & Trading (HEPS) Return on Sales [ROS] (2021 - 2024)
D-MARKET Electronic Services & Trading (HEPS) posted Return on Sales [ROS] of 0.79% for the quarter ended Dec 31, 2024, up 2.70 percentage points from -1.91% a year earlier and up 0.52 percentage points from the prior quarter.
D-MARKET Electronic Services & Trading (HEPS) Return on Sales [ROS] (2021 - 2024) Analysis & Trends
Since the quarter ended Mar 31, 2021, D-MARKET Electronic Services & Trading has reported Return on Sales [ROS] for 16 quarters.
- Annual Return on Sales [ROS] shows a three-year change of +36.00 percentage points (years ended Dec 2021 to Dec 2024).
- In prior years, D-MARKET Electronic Services & Trading's Return on Sales [ROS] was -35.21% in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2024 stands as the highest quarterly Return on Sales [ROS] in data going back to the quarter ended Mar 31, 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last eight quarters, with an average year-over-year change of +17.70 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was the quarter ended Dec 31, 2023, with a gain of 63.77 percentage points; the weakest was the quarter ended Mar 31, 2022, with a drop of 20.83 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 0.26% (quarter ended Sep 30, 2024), -0.32% (quarter ended Jun 30, 2024) and -0.87% (quarter ended Mar 31, 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 19.08% |
| 10 | D-MARKET Electronic Services & Trading | 885.92 Mn | -20.05 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 0.79% |
| Sep 30, 2024 | 0.26% |
| Jun 30, 2024 | -0.32% |
| Mar 31, 2024 | -0.87% |
| Dec 31, 2023 | -1.91% |
| Sep 30, 2023 | -2.04% |
| Jun 30, 2023 | -0.85% |
| Mar 31, 2023 | -3.69% |
| Dec 31, 2022 | -65.68% |
| Sep 30, 2022 | -22.47% |
| Jun 30, 2022 | -23.30% |
| Mar 31, 2022 | -30.27% |
| Dec 31, 2021 | -59.61% |
| Sep 30, 2021 | -43.60% |
| Jun 30, 2021 | -15.09% |
| Mar 31, 2021 | -9.44% |
D-MARKET Electronic Services & Trading Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HEPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HEPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();