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Alpha Cognition Inc.: filings

Every Alpha Cognition Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 9 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-Q2026-08-13fiscal Q2 2026421190001213900-26-089188
10-Q2026-05-14fiscal Q1 202639810001213900-26-056588
10-K2026-03-31fiscal FY 202542810001213900-26-037614
10-Q2025-11-13fiscal Q3 2025401010001213900-25-110061
10-Q2025-08-14fiscal Q2 2025421060001213900-25-076600
10-Q2025-05-15fiscal Q1 202548910001213900-25-044163
10-K2025-03-31fiscal FY 202445850001213900-25-026225
10-Q2024-11-14fiscal Q3 2024401120001213900-24-098409
10-Q2024-08-12fiscal Q2 2024391080001213900-24-067658

Inspect the source

Entity
Alpha Cognition Inc. / CIK 0001655923
Captured
2026-09-21T17:23:46.742Z
SEC response SHA-256
9198d7db51c670028f1630f78c93b50215b068051a9b74e381cd4588562a2582

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/0001655923.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"])))