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TIAN’AN TECHNOLOGY GROUP LTD.: filings

Every TIAN’AN TECHNOLOGY GROUP LTD. annual and quarterly report in the SEC record with the published financial measures it tagged, 4 filings, each linked to its SEC index.

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-F2026-05-22fiscal FY 202528580001493152-26-024881
20-F2025-04-25fiscal FY 202428570001641172-25-006170
20-F2024-04-02fiscal FY 202335650001493152-24-012556
20-F2023-06-07fiscal FY 202237680001493152-23-020428

Inspect the source

Entity
TIAN’AN TECHNOLOGY GROUP LTD. / CIK 0001941189
Captured
2026-09-21T17:37:17.514Z
SEC response SHA-256
0c9b7a1c3ac73a787fb15f4ac3cf1795787cda1e53f7410d48a3206fd444dd03

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/0001941189.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"])))