D-MARKET Electronic Services & Trading (HEPS) Divestments (2022 - 2024)
D-MARKET Electronic Services & Trading (HEPS) recorded Divestments of $3.4 billion in the year ended Dec 31, 2025, down 57.8% from $8.05 billion a year earlier.
D-MARKET Electronic Services & Trading (HEPS) Divestments (2022 - 2024) Analysis & Trends
Starting with the year ended Dec 31, 2022, D-MARKET Electronic Services & Trading's Divestments history includes 4 years.
- Annual Divestments has a three-year compound annual growth rate of -23.6% (years ended Dec 2022 to Dec 2025).
- Per Business Quant data, HEPS's Divestments was $8.05 billion in the year ended Dec 31, 2024 (+24.2%), $6.48 billion in the year ended Dec 31, 2023 (-14.8%) and $7.6 billion in the year ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | - |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | - |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | D-MARKET Electronic Services & Trading | 900.21 Mn | -20.04 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -8.56 Bn |
| Sep 30, 2024 | 7.75 Bn |
| Jun 30, 2024 | 6.27 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 5.49 Bn |
| Sep 30, 2023 | 919.82 Mn |
| Jun 30, 2023 | 33.67 Mn |
| Mar 31, 2023 | 31.06 Mn |
| Dec 31, 2022 | 3.38 Bn |
| Sep 30, 2022 | 2.15 Bn |
| Jun 30, 2022 | 1.85 Bn |
| Mar 31, 2022 | 222.22 Mn |
D-MARKET Electronic Services & Trading Divestments 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=divestments&ticker=HEPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();