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Ludwig Enterprises, Inc.: filings

Every Ludwig Enterprises, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 11 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-Q2026-05-29fiscal Q1 202629600001213900-26-062592
10-K2026-03-16fiscal FY 202529560001213900-26-028315
10-Q2025-11-12fiscal Q3 202530950001213900-25-108860
10-Q2025-08-12fiscal Q2 202529820001213900-25-074937
10-Q2025-05-15fiscal Q1 202525510001213900-25-044028
10-K2025-03-31fiscal FY 202425490001013762-25-004397
10-Q2024-11-14fiscal Q3 202426810001903596-24-000660
10-Q2024-08-13fiscal Q2 202423680001903596-24-000489
10-Q2024-05-20fiscal Q1 202418390001903596-24-000339
10-K2024-04-16fiscal FY 202320420001903596-24-000245
10-Q2023-11-28fiscal Q3 202318550001903596-23-000928

Inspect the source

Entity
Ludwig Enterprises, Inc. / CIK 0001960262
Captured
2026-09-21T17:36:34.240Z
SEC response SHA-256
e20829f1c4469721c393534562c9d7fa9274d607fd565c74de77138b9b69f94d

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/0001960262.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"])))