Baozun Inc.: total assets

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2014-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY: 2014-12-31 to 2025-12-31.
• USD: 2015-12-31 to 2025-12-31.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• Baozun Inc.: total liabilities
• Baozun Inc.: stockholders equity
• Baozun Inc.: cash and cash equivalents
• Baozun Inc.: net income or loss
• Baozun Inc.: operating cash flow
• Baozun Inc.: capital expenditure payments
• Baozun Inc.: revenue
• Baozun Inc.: contract revenue excluding tax
• Baozun Inc.: financing cash flow
• Baozun Inc.: investing cash flow
• Baozun Inc.: retained earnings or deficit
• Baozun Inc.: basic weighted-average shares
• Baozun Inc.: diluted weighted-average shares
• Baozun Inc.: basic earnings per share
• Baozun Inc.: diluted earnings per share
• Baozun Inc.: income tax expense or benefit
• Baozun Inc.: net property, plant and equipment
• Baozun Inc.: share-based compensation expense
• Baozun Inc.: operating income or loss
• Baozun Inc.: current assets
• Baozun Inc.: interest expense
• Baozun Inc.: current liabilities
• Baozun Inc.: current accounts payable
• Baozun Inc.: goodwill carrying amount
• Baozun Inc.: net finite-lived intangible assets
• Baozun Inc.: net current accounts receivable
• Baozun Inc.: common-stock repurchase payments
• Baozun Inc.: operating expenses
• Baozun Inc.: net inventory

Inspect the source

Entity

Baozun Inc. / CIK 0001625414

Captured

2026-09-21T17:22:02.447Z

SEC response SHA-256

bdc36a85c02e0fc06f1fea065b119aee256cc00bc96b220eeecb46f2b1f15199

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001625414.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))