D-MARKET Electronic Services & Trading (HEPS) Receivables - Net (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) recorded Receivables - Net of $26.75 million in the quarter ended Dec 31, 2025, down 76.7% from $114.66 million a year earlier.
D-MARKET Electronic Services & Trading (HEPS) Receivables - Net (2020 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2020, D-MARKET Electronic Services & Trading's Receivables - Net history includes 13 quarters.
- Annual Receivables - Net has a five-year compound annual growth rate of -29.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $114.66 million in the year ended Dec 31, 2024, $1.15 million in the year ended Dec 31, 2023 (-99.9%), $1.09 billion in the year ended Dec 31, 2022 (+196.5%) and $369.1 million in the year ended Dec 31, 2021 (+134.9%).
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Receivables - Net since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | D-MARKET Electronic Services & Trading | 1.01 Bn | 92.08 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 41.18 Mn |
| Dec 31, 2024 | 25.28 Mn |
| Dec 31, 2023 | 11.07 Mn |
| Dec 31, 2022 | 14.86 Mn |
| Dec 31, 2021 | 3.05 Mn |
| Dec 31, 2020 | 7.17 Mn |
D-MARKET Electronic Services & Trading Receivables - Net 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=receivables-net&ticker=HEPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();