Skip to content

Silver North Resources Ltd.: filings

Every Silver North Resources Ltd. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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
20-F2026-03-04fiscal FY 202519520001376474-26-000222
20-F2025-02-18fiscal FY 202419520001376474-25-000217
20-F/A2024-08-20fiscal FY 202319520001376474-24-000465
20-F2024-02-22fiscal FY 202319520001376474-24-000117
20-F/A2023-04-28fiscal FY 202121570001376474-23-000271
20-F2023-04-13fiscal FY 202221570001376474-23-000197
20-F2023-03-08fiscal FY 202121570001376474-23-000149
20-F2021-02-18fiscal FY 202025660001217160-21-000019
20-F2020-02-18fiscal FY 201926700001217160-20-000021
20-F2019-02-19fiscal FY 201825670001217160-19-000028

Inspect the source

Entity
Silver North Resources Ltd. / CIK 0001409036
Captured
2026-09-20T08:01:34.114Z
SEC response SHA-256
581671ac0af202446092d737a4e52947d697067fc8e66bd0d64f3fe89753146a

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/0001409036.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"])))