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CN Healthy Food Tech Group Corp.: filings

Every CN Healthy Food Tech Group Corp. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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
10-Q2026-08-14fiscal Q2 2026461320001213900-26-089578
10-Q2026-05-13fiscal Q1 202646920001213900-26-055809
10-Q2025-11-19fiscal Q3 2025431250001213900-25-112657
10-Q2025-08-14fiscal Q2 202519550001213900-25-076067
10-Q2025-05-15fiscal Q1 202519410001213900-25-043698
10-K2025-02-21fiscal FY 202420380001213900-25-015846
10-Q2024-11-12fiscal Q3 202419510001213900-24-096270
10-Q2024-08-14fiscal Q2 202419470001213900-24-068618
10-Q2024-05-14fiscal Q1 202417310001213900-24-042972
10-K2024-04-01fiscal FY 202318290001213900-24-028817

Inspect the source

Entity
CN Healthy Food Tech Group Corp. / CIK 0001901203
Captured
2026-09-21T17:35:53.272Z
SEC response SHA-256
6bc9cee9490976d7ef71528f497c6be48487bf4dcb2062dec7f0f2ebcf0dc473

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/0001901203.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"])))