D-MARKET Electronic Services & Trading (HEPS) Operating Leases (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) posted Operating Leases of $18.12 million for Q4 2025, up 9.6% from $16.53 million a year earlier.
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Analysis
D-MARKET Electronic Services & Trading (HEPS) Operating Leases (2020 - 2025) Analysis & Trends
Since Q4 2020, D-MARKET Electronic Services & Trading has reported Operating Leases for 6 quarters.
- Annual Operating Leases shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, D-MARKET Electronic Services & Trading's Operating Leases was $16.53 million in FY2024 (+300.6%), $4.13 million in FY2023 (-26.5%), $5.61 million in FY2022 (-26.8%) and $7.67 million in FY2021 (-39.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | D-MARKET Electronic Services & Trading | 1.02 Bn | 97.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.12 Mn |
| Dec 31, 2024 | 16.53 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Dec 31, 2022 | 5.61 Mn |
| Dec 31, 2021 | 7.67 Mn |
| Dec 31, 2020 | 12.59 Mn |
API Access
D-MARKET Electronic Services & Trading Operating Leases 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=operating-leases&ticker=HEPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();