D-MARKET Electronic Services & Trading (HEPS) Total Debt (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) posted Total Debt of -$8.88 billion for the quarter ended Dec 31, 2025, compared with -$2.39 billion a year earlier.
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Analysis
D-MARKET Electronic Services & Trading (HEPS) Total Debt (2020 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2021, D-MARKET Electronic Services & Trading has reported Total Debt for 12 quarters.
- In prior years, D-MARKET Electronic Services & Trading's Total Debt was -$2.39 billion in the year ended Dec 31, 2024, $264.9 million in the year ended Dec 31, 2023 and $275 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Total Debt in data going back to the quarter ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 15.36 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 9.06 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 5.24 Bn |
| 10 | D-MARKET Electronic Services & Trading | 1.01 Bn | 92.08 Mn | - | 13.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.89 Mn |
| Dec 31, 2024 | 47.66 Mn |
| Dec 31, 2023 | 6.31 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Dec 31, 2021 | 14.54 Mn |
| Dec 31, 2020 | 47.12 Mn |
API Access
D-MARKET Electronic Services & Trading Total Debt 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=total-debt&ticker=HEPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();