D-MARKET Electronic Services & Trading (HEPS) Cash & Equivalents (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) posted Cash & Equivalents of $808.96 million for the quarter ended Dec 31, 2025.
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Analysis
D-MARKET Electronic Services & Trading (HEPS) Cash & Equivalents (2020 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2021, D-MARKET Electronic Services & Trading has reported Cash & Equivalents for 12 quarters.
- Annual Cash & Equivalents shows a four-year compound annual growth rate of -40.1% (years ended Dec 2021 to Dec 2025).
- In prior years, D-MARKET Electronic Services & Trading's Cash & Equivalents was $7.94 billion in the year ended Dec 31, 2023 (-8.5%), $8.68 billion in the year ended Dec 31, 2022 (+38.5%) and $6.26 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Cash & Equivalents since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | D-MARKET Electronic Services & Trading | 1.00 Bn | 77.89 Mn | - | 263.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 263.27 Mn |
| Dec 31, 2024 | 191.19 Mn |
| Dec 31, 2023 | 186.32 Mn |
| Dec 31, 2022 | 281.56 Mn |
| Dec 31, 2021 | 286.93 Mn |
| Dec 31, 2020 | 80.37 Mn |
API Access
D-MARKET Electronic Services & Trading Cash & Equivalents 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=cash-and-equivalents&ticker=HEPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();