ATRenew (RERE) Accumulated Expenses (2020 - 2026)
ATRenew's (RERE) quarterly Accumulated Expenses came in at $107.0 million in Q2 2026, up 31.05% year-over-year from $81.7 million in Q2 2025, and down 12.33% quarter-over-quarter from $122.1 million in Q1 2026.
ATRenew (RERE) Accumulated Expenses (2020 - 2026) Analysis & Trends
ATRenew has disclosed Accumulated Expenses across 7 years of filings, most recently posting $107.0 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 31.05% year-over-year to $107.0 million; the TTM figure through Jun 2026 stood at $107.0 million (up 31.05% YoY), while the FY2025 annual figure was $92.2 million, up 28.84% from the prior year.
- Accumulated Expenses came in at $107.0 million for Q2 2026 at ATRenew, down from $122.1 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $122.1 million in Q1 2026 to a low of $44.3 million in Q2 2023.
- Average Accumulated Expenses over 5 years is $71.2 million, with a median of $63.9 million recorded in 2022.
- Year-over-year, Accumulated Expenses slipped 23.5% in 2023 and jumped 57.22% in 2026.
- Over 5 years, Accumulated Expenses stood at $63.2 million in 2022, then grew by 2.21% to $64.6 million in 2023, then grew by 12.58% to $72.7 million in 2024, then gained by 25.01% to $90.9 million in 2025, then increased by 17.71% to $107.0 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $107.0 million in Q2 2026, $122.1 million in Q1 2026, and $90.9 million in Q4 2025.
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 |
|---|---|
| Jun 30, 2026 | 107.01 Mn |
| Mar 31, 2026 | 122.06 Mn |
| Dec 31, 2025 | 90.91 Mn |
| Sep 30, 2025 | 91.09 Mn |
| Jun 30, 2025 | 81.65 Mn |
| Mar 31, 2025 | 77.64 Mn |
| Dec 31, 2024 | 72.72 Mn |
| Sep 30, 2024 | 68.14 Mn |
| Jun 30, 2024 | 59.93 Mn |
| Mar 31, 2024 | 62.07 Mn |
| Dec 31, 2023 | 64.60 Mn |
| Sep 30, 2023 | 47.12 Mn |
| Jun 30, 2023 | 44.26 Mn |
| Mar 31, 2023 | 56.80 Mn |
| Dec 31, 2022 | 63.20 Mn |
| Sep 30, 2022 | 57.24 Mn |
| Jun 30, 2022 | 57.85 Mn |
| Mar 31, 2022 | 58.18 Mn |
| Dec 31, 2021 | 46.40 Mn |
| Sep 30, 2021 | 67.56 Mn |
ATRenew Accumulated 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=accumulated-expenses&ticker=RERE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RERE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RERE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();