D-MARKET Electronic Services & Trading (HEPS) Change in Acquisitions & Divestments (2021 - 2024)
D-MARKET Electronic Services & Trading (HEPS) posted Change in Acquisitions & Divestments of -$2.39 billion for the year ended Dec 31, 2025, compared with -$8.41 billion a year earlier.
D-MARKET Electronic Services & Trading (HEPS) Change in Acquisitions & Divestments (2021 - 2024) Analysis & Trends
Since the year ended Dec 31, 2021, D-MARKET Electronic Services & Trading has reported Change in Acquisitions & Divestments for 5 years.
- The figure for the year ended Dec 31, 2025 stands as the highest annual Change in Acquisitions & Divestments in data going back to the year ended Dec 31, 2021.
- Business Quant data shows HEPS's Change in Acquisitions & Divestments at -$8.41 billion in the year ended Dec 31, 2024, -$9.59 billion in the year ended Dec 31, 2023, -$3.74 billion in the year ended Dec 31, 2022 and -$2.72 billion in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | D-MARKET Electronic Services & Trading | 871.63 Mn | -20.07 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -5.03 Bn |
| Dec 31, 2022 | -1.57 Bn |
| Sep 30, 2022 | -1.46 Bn |
| Jun 30, 2022 | -1.36 Bn |
| Mar 31, 2022 | -240.38 Mn |
| Dec 31, 2021 | -1.65 Bn |
D-MARKET Electronic Services & Trading Change in Acquisitions & 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=change-in-acquisitions-and-divestments&ticker=HEPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-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=change-in-acquisitions-and-divestments&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();