JD.com (JD) Depreciation & Amortization (CF) (2019 - 2024)
JD.com (JD) reported Depreciation & Amortization (CF) of $1.39 billion for FY2025, up 14.3% from $1.22 billion in FY2024.
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Analysis
JD.com (JD) Depreciation & Amortization (CF) (2019 - 2024) Analysis & Trends
Dating back to FY2012, JD.com's Depreciation & Amortization (CF) record includes 14 years.
- Depreciation & Amortization (CF) has increased for 13 consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Depreciation & Amortization (CF) in data going back to FY2012.
- According to Business Quant data, Depreciation & Amortization (CF) came in at $1.22 billion in FY2024 (+4.5%), $1.17 billion in FY2023 (+11.3%), $1.05 billion in FY2022 (+7.3%) and $978 million in FY2021 (+5.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 20.95 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 64.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 140.19 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 784.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 139.55 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 220.14 Mn |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 310.04 Mn |
| Mar 31, 2023 | 286.50 Mn |
| Mar 31, 2020 | 201.41 Mn |
| Mar 31, 2019 | 247.76 Mn |
API Access
JD.com Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "JD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();