Baozun (BZUN) Total Non-Current Liabilities (2017 - 2026)
Baozun (BZUN) posted Total Non-Current Liabilities of $76.97 million for Q1 2026, down 11.5% from $86.96 million a year earlier and down 1.5% from the prior quarter.
Baozun (BZUN) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Baozun's Total Non-Current Liabilities came in at $79.27 million, down 14.8% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- In prior years, Baozun's Total Non-Current Liabilities was $93 million in FY2024 (-23.6%), $121.8 million in FY2023 (+9.9%), $110.84 million in FY2022 (-33.4%) and $166.49 million in FY2021 (-49.1%).
- The Q1 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2019.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with an average decline of 15.6% over the last five quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 34.8%; the weakest was Q3 2022, with a decline of 72.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | 6.10 Bn |
| 10 | Baozun | 208.76 Mn | -1.38 Bn | 302.56 Mn | 73.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.90 Mn |
| Mar 31, 2026 | 76.97 Mn |
| Dec 31, 2025 | 79.24 Mn |
| Sep 30, 2025 | 91.65 Mn |
| Jun 30, 2025 | 82.51 Mn |
| Mar 31, 2025 | 86.96 Mn |
| Dec 31, 2024 | 93.02 Mn |
| Sep 30, 2024 | 101.13 Mn |
| Jun 30, 2024 | 99.62 Mn |
| Mar 31, 2024 | 106.90 Mn |
| Dec 31, 2023 | 121.68 Mn |
| Mar 31, 2023 | 140.85 Mn |
| Dec 31, 2022 | 109.79 Mn |
| Sep 30, 2022 | 117.27 Mn |
| Jun 30, 2022 | 142.27 Mn |
| Mar 31, 2022 | 158.81 Mn |
| Dec 31, 2021 | 166.51 Mn |
| Sep 30, 2021 | 428.21 Mn |
| Jun 30, 2021 | 396.68 Mn |
| Mar 31, 2021 | 363.15 Mn |
Baozun Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BZUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BZUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();