JD.com (JD) Asset Writedowns and Impairment (2018 - 2024)
JD.com's (JD) quarterly Asset Writedowns and Impairment came in at $16.8 million in Q1 2024, up 341.56% year-over-year from $3.8 million in Q2 2023, and down 54.58% quarter-over-quarter from $36.9 million in Q4 2023.
JD.com (JD) Asset Writedowns and Impairment (2018 - 2024) Analysis & Trends
JD.com (JD) has reported Asset Writedowns and Impairment for 7 consecutive years, with $16.8 million the latest figure, recorded in Q1 2024.
- On a quarterly basis, Asset Writedowns and Impairment rose 341.56% year-over-year to $16.8 million in Q1 2024; TTM through Mar 2024 was $238.1 million, a 76.8% decrease from a year earlier, with the FY2025 full-year figure at $118.0 million, down 73.89% from the prior year.
- Asset Writedowns and Impairment was $16.8 million for Q1 2024 at JD.com, down from $36.9 million in the prior quarter.
- Over five years, Asset Writedowns and Impairment peaked at $611.4 million in Q4 2021 and troughed at $3.7 million in Q1 2020.
- A 5-year average of $154.8 million and a median of $36.9 million in 2023 frame the typical range for Asset Writedowns and Impairment.
- Across the five-year window, Asset Writedowns and Impairment plunged 92.34% in 2020 and surged 341.56% in 2024, its largest moves.
- Over 5 years, Asset Writedowns and Impairment stood at $3.7 million in 2020, then jumped by 16271.77% to $611.4 million in 2021, then plunged by 70.46% to $180.6 million in 2022, then plunged by 79.55% to $36.9 million in 2023, then tumbled by 54.58% to $16.8 million in 2024.
- The last three Asset Writedowns and Impairment figures came in at $16.8 million (Q1 2024), $36.9 million (Q4 2023), and $3.8 million (Q1 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 16.78 Mn |
| Dec 31, 2023 | 36.94 Mn |
| Mar 31, 2023 | 3.80 Mn |
| Jun 30, 2022 | 180.61 Mn |
| Dec 31, 2021 | 611.41 Mn |
| Sep 30, 2021 | 230.63 Mn |
| Mar 31, 2020 | 3.73 Mn |
| Sep 30, 2019 | 145.51 Mn |
| Mar 31, 2019 | 48.74 Mn |
| Sep 30, 2018 | 58.68 Mn |
JD.com Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();