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Weidai Ltd.: filings

Every Weidai Ltd. annual and quarterly report in the SEC record with the published financial measures it tagged, 4 filings, each linked to its SEC index.

Filing record ends 2022-04-22

The latest filing in this captured record is a 20-F filed 2022-04-22. No later filing is in the SEC companyfacts record captured on 2026-09-22. Weidai Ltd. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
20-F2022-04-22fiscal FY 2021461610001410578-22-000999
20-F2021-04-08fiscal FY 2020441600001104659-21-048044
20-F2020-06-04fiscal FY 2019471690001104659-20-069679
20-F2019-04-16fiscal FY 2018451650001144204-19-019859

Inspect the source

Entity
Weidai Ltd. / CIK 0001734902
Captured
SEC response SHA-256
c2a812a11db77fbe22a3d2e11cba8cb27749fc6886dbb87e1503275fe136e6f8

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

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001734902.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"])))