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Borealis Foods Inc.: filings

Every Borealis Foods Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 19 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-Q2026-06-30fiscal Q1 202641840001213900-26-073767
10-K2026-06-02fiscal FY 202547940001213900-26-063777
10-Q2025-11-19fiscal Q3 2025451360001213900-25-112699
10-Q2025-08-19fiscal Q2 2025451310001213900-25-078599
10-Q2025-05-20fiscal Q1 202543900001213900-25-045956
10-K2025-04-15fiscal FY 2024471030001628280-25-017861
10-Q2024-11-14fiscal Q3 2024431340001628280-24-047881
10-Q2024-08-14fiscal Q2 2024411220001628280-24-037185
10-Q2024-05-21fiscal Q1 202441850001213900-24-045327
10-K2024-04-15fiscal FY 202314270001213900-24-032953
10-Q2023-11-20fiscal Q3 202313400001213900-23-088623
10-Q2023-08-18fiscal Q2 202314370001213900-23-068909
10-Q2023-05-22fiscal Q1 202315310001213900-23-041914
10-K2023-03-31fiscal FY 202215270001213900-23-025396
10-Q2022-11-14fiscal Q3 202215400001213900-22-071955
10-Q2022-08-02fiscal Q2 202213300001213900-22-043734
10-Q2022-05-23fiscal Q1 202214280001213900-22-028997
10-K2022-03-31fiscal FY 202116160001213900-22-016349
10-Q2021-11-15fiscal Q3 202115190001213900-21-059540

Inspect the source

Entity
Borealis Foods Inc. / CIK 0001852973
Captured
2026-09-21T17:38:35.514Z
SEC response SHA-256
2905ff37df5fbfe6d2125ca5ebe4cb92dbcc33f24390aeb0302258480f12643a

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/0001852973.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"])))