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ROCKY MOUNTAINS GROUP LTD: filings

Every ROCKY MOUNTAINS GROUP LTD annual and quarterly report in the SEC record with the published financial measures it tagged, 6 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-K2026-07-31fiscal FY 202629540001493152-26-035556
10-Q2026-04-01fiscal Q3 202628840001493152-26-014505
10-Q2025-12-31fiscal Q2 202628800001493152-25-029722
10-Q2025-10-14fiscal Q1 202628580001493152-25-017954
10-K2025-08-13fiscal FY 202531600001641172-25-023354
10-Q2025-04-03fiscal Q3 202529560001641172-25-002527

Inspect the source

Entity
ROCKY MOUNTAINS GROUP LTD / CIK 0002034288
Captured
2026-09-21T17:40:05.100Z
SEC response SHA-256
7d27113ad50c6f4ffd85f315e26e560455129d937b40c03ea21496828ebc02d7

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/0002034288.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"])))