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Bilibili Inc.: total liabilities

Total liabilities for Bilibili Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Bilibili Inc. financial histories

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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 2017-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

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

Total liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3125,619,200,000CNY2026-04-1620-F · 0001193125-26-157842
At date2024-12-3118,594,587,000CNY2026-04-1620-F · 0001193125-26-157842
At date2023-12-3118,754,800,000CNY2025-03-2520-F · 0001193125-25-061847
At date2022-12-3126,590,983,000CNY2024-03-2720-F · 0001193125-24-078124
At date2021-12-3130,337,085,000CNY2023-04-2720-F · 0001193125-23-119748
At date2020-12-3116,083,404,000CNY2022-04-2520-F · 0001193125-22-116261
At date2019-12-317,880,107,000CNY2021-03-0520-F · 0001193125-21-071497
At date2018-12-313,298,834,000CNY2021-03-0520-F · 0001193125-21-071497
At date2017-12-311,397,994,000CNY2019-04-1220-F · 0001104659-19-021128
At date2025-12-313,663,497,000USD2026-04-1620-F · 0001193125-26-157842
At date2024-12-312,547,447,000USD2025-03-2520-F · 0001193125-25-061847
At date2023-12-312,641,558,000USD2024-03-2720-F · 0001193125-24-078124
At date2022-12-313,855,330,000USD2023-04-2720-F · 0001193125-23-119748
At date2021-12-314,760,550,000USD2022-04-2520-F · 0001193125-22-116261
At date2020-12-312,464,891,000USD2021-03-0520-F · 0001193125-21-071497
At date2019-12-311,131,905,000USD2020-03-2720-F · 0001193125-20-088657
At date2018-12-31479,795,000USD2019-04-1220-F · 0001104659-19-021128

Related financial histories

Inspect the source

Entity
Bilibili Inc. / CIK 0001723690
Captured
2026-09-21T17:27:26.586Z
SEC response SHA-256
928b0f4805ae0c775c289443caaaf5fb0ab1aa055562e3641480163b3dd91a98

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001723690.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"])))