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DataMeds AI, Inc.: filings

Every DataMeds AI, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 7 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-Q2026-08-17fiscal Q2 2026431200001493152-26-038581
10-Q2026-05-19fiscal Q1 202644890001493152-26-024413
10-K2026-03-20fiscal FY 202545880001493152-26-012004
10-Q2025-11-19fiscal Q3 2025441250001493152-25-024328
10-Q2025-08-19fiscal Q2 2025441200001641172-25-024873
10-Q2025-05-12fiscal Q1 202544780001641172-25-009565
10-K2025-03-25fiscal FY 202445690001641172-25-000612

Inspect the source

Entity
DataMeds AI, Inc. / CIK 0002030763
Captured
2026-09-21T17:41:28.380Z
SEC response SHA-256
64b6238ce970cf84aad95e01d08c8be6c2885e609239a7028bd4d2e1ab3fc224

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/0002030763.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"])))