JD.com (JD) Change in Accured Expenses (2018 - 2024)
JD.com's (JD) quarterly Change in Accured Expenses came in at -$540.4 million in Q1 2024, up 12.44% year-over-year from -$480.6 million in Q2 2023, and up 12.44% quarter-over-quarter from -$617.1 million in Q1 2023.
Powered by 
Analysis
JD.com (JD) Change in Accured Expenses (2018 - 2024) Analysis & Trends
JD.com (JD) has reported Change in Accured Expenses for 5 consecutive years, with -$540.4 million the latest figure, recorded in Q1 2024.
- On a quarterly basis, Change in Accured Expenses rose 12.44% year-over-year to -$540.4 million in Q1 2024; TTM through Mar 2024 was -$720.3 million, a 228.58% decrease from a year earlier, with the FY2025 full-year figure at $499.0 million, up 62.54% from the prior year.
- Change in Accured Expenses was -$540.4 million for Q1 2024 at JD.com, up from -$617.1 million in the prior quarter.
- Over five years, Change in Accured Expenses peaked at $99.3 million in Q1 2020 and troughed at -$617.1 million in Q1 2023.
- A 3-year average of -$352.7 million and a median of -$540.4 million in 2024 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses surged 352.75% in 2020 and advanced 12.44% in 2024, its largest moves.
- Over 3 years, Change in Accured Expenses stood at $99.3 million in 2020, then tumbled by 721.47% to -$617.1 million in 2023, then grew by 12.44% to -$540.4 million in 2024.
- The last three Change in Accured Expenses figures came in at -$540.4 million (Q1 2024), -$617.1 million (Q1 2023), and $99.3 million (Q1 2020), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn | -10.06 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn | - |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn | -297.00 Mn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn | 202.00 Mn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn | 7.15 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn | 12.07 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn | 3.81 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn | - |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn | -2.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -540.37 Mn |
| Mar 31, 2023 | -617.14 Mn |
| Mar 31, 2020 | 99.30 Mn |
| Sep 30, 2019 | 337.91 Mn |
| Mar 31, 2019 | -39.29 Mn |
| Sep 30, 2018 | 522.16 Mn |
API Access
JD.com Change in Accured Expenses 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=change-in-accured-expenses&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();