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Greenlit Ventures Inc.: filings

Every Greenlit Ventures Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-09-17fiscal Q1 202618400001640334-26-001564
10-K2026-04-15fiscal FY 202521450001640334-26-000745
10-Q2025-11-03fiscal Q3 202520640001640334-25-001952
10-Q2025-08-12fiscal Q2 202520600001640334-25-001417
10-Q2025-05-05fiscal Q1 202520440001640334-25-000743
10-K2025-03-27fiscal FY 202421440001640334-25-000494
10-Q2024-10-28fiscal Q3 202420640001640334-24-001582
10-Q2024-07-30fiscal Q2 202418520001640334-24-001165
10-Q2024-05-01fiscal Q1 202418400001640334-24-000713
10-K2024-03-08fiscal FY 202322460001640334-24-000368
10-Q2023-10-19fiscal Q3 202321700001640334-23-001907
10-Q2023-07-31fiscal Q2 202319590001640334-23-001387
10-Q2023-05-15fiscal Q1 202318370001640334-23-000861
10-K2023-03-30fiscal FY 202218370001640334-23-000495
10-Q2022-11-08fiscal Q3 202215450001493152-22-030885
10-Q2022-08-05fiscal Q2 202215460001493152-22-021433
10-Q2022-05-05fiscal Q1 202214270001493152-22-012268
10-K/A2022-03-01fiscal FY 202122330001493152-22-005734
10-K2022-02-25fiscal FY 202122330001493152-22-005499
10-Q2021-11-10fiscal Q3 202118450001493152-21-027800
10-Q2021-08-13fiscal Q2 202119460001493152-21-019807
10-Q2021-07-06fiscal Q1 202116250001493152-21-016150
10-K2021-03-15fiscal FY 202022500001493152-21-005973
10-Q2020-11-13fiscal Q3 202019540001493152-20-021335
10-Q2020-08-17fiscal Q2 202019540001493152-20-016093
10-Q2020-07-20fiscal Q1 202019360001493152-20-013631
10-K2020-06-29fiscal FY 201920400001493152-20-012062
10-Q/A2019-11-15fiscal Q3 201918480001493152-19-017725
10-Q/A2019-08-08fiscal Q2 201918510001493152-19-011859
10-Q2019-08-07fiscal Q2 201918490001493152-19-011794
10-Q2019-05-14fiscal Q1 201917320001493152-19-007041
10-K2019-03-28fiscal FY 201820340001493152-19-004063
10-Q2018-11-14fiscal Q3 201814300001493152-18-015909
10-Q2018-08-14fiscal Q2 201814310001213900-18-010876
10-Q2018-07-24fiscal Q1 201814240001213900-18-009567
10-K2018-04-02fiscal FY 201711200001213900-18-003914

Inspect the source

Entity
Greenlit Ventures Inc. / CIK 0001693687
Captured
2026-09-21T17:23:38.906Z
SEC response SHA-256
92be27a980a2773fa0fcc8b5c9c5942aaf721ed775fbc5b81e5b2a8e040e9f5c

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/0001693687.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"])))