ATRenew (RERE) Accumulated Expenses (2020 - 2026)
ATRenew (RERE) posted Accumulated Expenses of $107.01 million for Q2 2026, up 31.1% from $81.65 million a year earlier but down 12.3% from the prior quarter.
ATRenew (RERE) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, ATRenew's Accumulated Expenses came in at $92.2 million, up 28.8% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, ATRenew's Accumulated Expenses was $71.57 million in FY2024 (+9.2%), $65.51 million in FY2023 (+0.5%), $65.17 million in FY2022 (+40.0%) and $46.55 million in FY2021 (-11.5%).
- Quarterly Accumulated Expenses has run from a low of $44.26 million in Q2 2023 to a high of $122.06 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 33.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 57.2%; the weakest was Q2 2023, with a decline of 23.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $122.06 million (Q1 2026), $90.91 million (Q4 2025) and $91.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,675.56 Bn | 2,192.26 Bn | 104.83 Bn |
| 2 | Home Depot | 316.95 Bn | 310.19 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.25 Bn | 137.79 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.07 Bn | 104.03 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.04 Bn | 74.13 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.25 Bn | 56.17 Bn | 2.12 Bn |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn |
| 8 | Autozone | 53.35 Bn | 52.25 Bn | 2.52 Bn |
| 9 | Carvana | 40.83 Bn | 31.32 Bn | 1.38 Bn |
| 10 | ATRenew | 929.17 Mn | -82.98 Mn | -705.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.01 Mn |
| Mar 31, 2026 | 122.06 Mn |
| Dec 31, 2025 | 92.16 Mn |
| Sep 30, 2025 | 91.09 Mn |
| Jun 30, 2025 | 81.65 Mn |
| Mar 31, 2025 | 77.64 Mn |
| Dec 31, 2024 | 71.58 Mn |
| Sep 30, 2024 | 68.14 Mn |
| Jun 30, 2024 | 59.93 Mn |
| Mar 31, 2024 | 62.07 Mn |
| Dec 31, 2023 | 65.45 Mn |
| Sep 30, 2023 | 47.12 Mn |
| Jun 30, 2023 | 44.26 Mn |
| Mar 31, 2023 | 56.80 Mn |
| Dec 31, 2022 | 64.55 Mn |
| Sep 30, 2022 | 57.24 Mn |
| Jun 30, 2022 | 57.85 Mn |
| Mar 31, 2022 | 58.18 Mn |
| Dec 31, 2021 | 46.55 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();