Baozun (BZUN) Accumulated Expenses (2014 - 2026)
Baozun (BZUN) posted Accumulated Expenses of $200.9 million for Q2 2026, down 1.94% on a QoQ basis from $204.9 million in Q1 2026, and up 25.03% year-over-year from $160.7 million in Q2 2025.
Baozun (BZUN) Accumulated Expenses (2014 - 2026) Analysis & Trends
Baozun has reported Accumulated Expenses for 13 years, with the latest figure at $200.9 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 25.03% year-over-year to $200.9 million in Q2 2026; TTM through Jun 2026 was $200.9 million, a 25.03% increase from a year earlier, with the FY2025 full-year figure at $194.4 million, up 21.32% from the prior year.
- Accumulated Expenses was $200.9 million for Q2 2026 at Baozun, down from $204.9 million in the prior quarter.
- The five-year high for Accumulated Expenses was $204.9 million in Q1 2026, with the low at $112.6 million in Q3 2022.
- Average Accumulated Expenses over 5 years is $155.7 million, with a median of $150.1 million recorded in 2024.
- The largest YoY upside for Accumulated Expenses was 65.24% in 2022 against a maximum downside of 6.36% in 2022.
- Over 5 years, Accumulated Expenses stood at $144.2 million in 2022, then advanced by 14.44% to $165.0 million in 2023, then dropped by 1.34% to $162.8 million in 2024, then rose by 17.72% to $191.7 million in 2025, then increased by 4.84% to $200.9 million in 2026.
- The last three Accumulated Expenses figures came in at $200.9 million (Q2 2026), $204.9 million (Q1 2026), and $191.7 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.95 Mn |
| Mar 31, 2026 | 204.92 Mn |
| Dec 31, 2025 | 191.66 Mn |
| Sep 30, 2025 | 158.12 Mn |
| Jun 30, 2025 | 160.72 Mn |
| Mar 31, 2025 | 153.56 Mn |
| Dec 31, 2024 | 162.82 Mn |
| Sep 30, 2024 | 146.56 Mn |
| Jun 30, 2024 | 140.47 Mn |
| Mar 31, 2024 | 136.66 Mn |
| Dec 31, 2023 | 165.02 Mn |
| Mar 31, 2023 | 138.23 Mn |
| Dec 31, 2022 | 144.20 Mn |
| Sep 30, 2022 | 112.59 Mn |
| Jun 30, 2022 | 144.73 Mn |
| Mar 31, 2022 | 130.54 Mn |
| Dec 31, 2021 | 153.99 Mn |
| Sep 30, 2021 | 105.93 Mn |
| Jun 30, 2021 | 87.59 Mn |
| Mar 31, 2021 | 96.99 Mn |
Baozun 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=BZUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BZUN", "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=BZUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();