Baozun (BZUN) EBITDA (2014 - 2026)
Baozun (BZUN) posted EBITDA of $9.3 million for Q2 2026, up 25703.81% on a QoQ basis from $36092.7 in Q1 2026, and up 818.32% year-over-year from $1.0 million in Q2 2025.
Baozun (BZUN) EBITDA (2014 - 2026) Analysis & Trends
Baozun has reported EBITDA for 13 years, with the latest figure at $9.3 million in Q2 2026.
- On a quarterly basis, EBITDA rose 818.32% year-over-year to $9.3 million in Q2 2026; TTM through Jun 2026 was $30.9 million, a 261.18% increase from a year earlier, with the FY2025 full-year figure at $7.9 million, up 150.03% from the prior year.
- EBITDA was $9.3 million for Q2 2026 at Baozun, up from $36092.7 in the prior quarter.
- The five-year high for EBITDA was $25.1 million in Q4 2025, with the low at -$18.8 million in Q3 2023.
- Average EBITDA over 5 years is -$1.3 million, with a median of -$3.5 million recorded in 2025.
- The sharpest annual moves came in 2022 and 2023: EBITDA jumped 2769.06% in 2022, then sank 408.46% in 2023.
- Over 5 years, EBITDA stood at $18.0 million in 2022, then tumbled by 94.99% to $901000.0 in 2023, then jumped by 1012.99% to $10.0 million in 2024, then jumped by 150.32% to $25.1 million in 2025, then tumbled by 62.9% to $9.3 million in 2026.
- The last three EBITDA figures came in at $9.3 million (Q2 2026), $36092.7 (Q1 2026), and $25.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 488.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 62.42 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 9.66 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 2.70 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 9.31 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | -23,173.00 |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | -161,747.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.31 Mn |
| Mar 31, 2026 | 36,092.68 |
| Dec 31, 2025 | 25.10 Mn |
| Sep 30, 2025 | -3.58 Mn |
| Jun 30, 2025 | -1.30 Mn |
| Mar 31, 2025 | -11.57 Mn |
| Dec 31, 2024 | 10.03 Mn |
| Sep 30, 2024 | -16.31 Mn |
| Jun 30, 2024 | -2.59 Mn |
| Mar 31, 2024 | -7.66 Mn |
| Dec 31, 2023 | 901,000.00 |
| Sep 30, 2023 | -18.76 Mn |
| Jun 30, 2023 | -5.03 Mn |
| Mar 31, 2023 | -5.94 Mn |
| Dec 31, 2022 | 17.99 Mn |
| Sep 30, 2022 | -3.69 Mn |
| Jun 30, 2022 | -3.49 Mn |
| Mar 31, 2022 | -6.50 Mn |
| Dec 31, 2021 | 627,000.00 |
| Sep 30, 2021 | -24.20 Mn |
Baozun EBITDA 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=ebitda&ticker=BZUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BZUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();