D-MARKET Electronic Services & Trading (HEPS) Other Accumulated Expenses (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) recorded Other Accumulated Expenses of $1.48 billion in the quarter ended Dec 31, 2025, down 33.0% from $2.2 billion a year earlier.
D-MARKET Electronic Services & Trading (HEPS) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2020, D-MARKET Electronic Services & Trading's Other Accumulated Expenses history includes 16 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 95.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $2.2 billion in the year ended Dec 31, 2024 (+101.8%), $1.09 billion in the year ended Dec 31, 2023 (+74.4%), $626.19 million in the year ended Dec 31, 2022 (+130.2%) and $271.96 million in the year ended Dec 31, 2021 (+425.2%).
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Other Accumulated Expenses rose in four of the last five quarters, with growth averaging 54.3%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 969.0% in the quarter ended Mar 31, 2023, against a decline of 33.0% in the quarter ended Dec 31, 2025 at the low end.
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 |
|---|---|
| Dec 31, 2025 | 1.48 Bn |
| Dec 31, 2024 | 2.20 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 937.05 Mn |
| Mar 31, 2024 | 918.56 Mn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 970.85 Mn |
| Jun 30, 2023 | 514.74 Mn |
| Mar 31, 2023 | 446.04 Mn |
| Dec 31, 2022 | 626.19 Mn |
| Sep 30, 2022 | 273.08 Mn |
| Jun 30, 2022 | 228.12 Mn |
| Mar 31, 2022 | 41.73 Mn |
| Dec 31, 2021 | 271.96 Mn |
| Sep 30, 2021 | 84.34 Mn |
| Dec 31, 2020 | 51.78 Mn |
D-MARKET Electronic Services & Trading Other Accumulated Expenses 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=other-accumulated-expenses&ticker=HEPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();