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Neuphoria Therapeutics Inc.: filings

Every Neuphoria Therapeutics 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-K2026-09-18fiscal FY 202641820001193125-26-395536
10-Q2026-05-15fiscal Q3 2026381120001193125-26-225442
10-Q2026-02-17fiscal Q2 2025391110001193125-26-054509
10-Q2025-11-14fiscal Q1 202538820001193125-25-281579
10-K2025-09-29fiscal FY 202545890001193125-25-223338
10-Q2025-05-20fiscal Q3 2025401260000950170-25-075175
10-Q2025-02-14fiscal Q2 2025401170000950170-25-020473
10-Q2024-11-14fiscal Q1 202539850000950170-24-127032
10-K2024-09-30fiscal FY 202447940001213900-24-082909

Inspect the source

Entity
Neuphoria Therapeutics Inc. / CIK 0001191070
Captured
2026-09-20T07:45:23.997Z
SEC response SHA-256
372513ea84f86f142e1c29cb2b664e83007b50ab22e27c520e32d6f65e10eeca

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/0001191070.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"])))