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CANNONAU CORP: filings

Every CANNONAU CORP annual and quarterly report in the SEC record with the published financial measures it tagged, 31 filings, each linked to its SEC index.

Filing record ends 2024-07-26

The latest filing in this captured record is a 10-K/A filed 2024-07-26. No later filing is in the SEC companyfacts record captured on 2026-09-23. CANNONAU CORP may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-K/A2024-07-26fiscal FY 202322360001377469-24-000003
10-Q2024-06-05fiscal Q1 202414210001017386-24-000171
10-K2024-04-12fiscal FY 202323370001017386-24-000074
10-Q2023-11-13fiscal Q3 202324590001017386-23-000354
10-Q2023-08-21fiscal Q2 202323610001017386-23-000319
10-Q2023-05-12fiscal Q1 202324480001017386-23-000199
10-K2023-03-03fiscal FY 202224490001017386-23-000093
10-Q2022-11-14fiscal Q3 202224650001017386-22-000509
10-Q2022-08-11fiscal Q2 202224680001017386-22-000338
10-Q/A2022-07-19fiscal Q1 202223490001410187-22-000003
10-K/A2022-06-24fiscal FY 202124490000745543-22-000030
10-Q2021-12-10fiscal Q3 202120530000745543-21-000028
10-Q2021-09-27fiscal Q2 202121560001017386-21-000433
10-Q2021-05-24fiscal Q1 202118400001017386-21-000196
10-K/A2021-04-29fiscal FY 202020370001191334-21-000010
10-K2021-04-14fiscal FY 202021390000745543-21-000009
10-Q2020-11-19fiscal Q3 202018430001017386-20-000482
10-Q2020-08-19fiscal Q2 202018380001379043-20-000025
10-Q2020-05-14fiscal Q1 202017280001379043-20-000002
10-K2020-05-12fiscal FY 201917250001445831-20-000010
10-Q2019-11-15fiscal Q3 201913260001483798-19-000159
10-Q/A2019-11-14fiscal Q2 201915280001483798-19-000157
10-Q2019-08-20fiscal Q2 201915280001483798-19-000101
10-K2019-04-29fiscal FY 201213210001483798-19-000026
10-Q2019-04-29fiscal Q3 201213260001483798-19-000024
10-Q2019-04-29fiscal Q2 201216320001483798-19-000022
10-Q2019-04-29fiscal Q1 201216240001483798-19-000020
10-K2019-04-26fiscal FY 201120340001483798-19-000016
10-Q/A2019-03-22fiscal Q3 201119440001483798-19-000014
10-Q2019-03-05fiscal Q3 201119420001483798-19-000010
10-Q/A2011-09-09fiscal Q2 201124810001078782-11-002607

27 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
CANNONAU CORP / CIK 0001410187
Captured
SEC response SHA-256
f6384ab25913770532bab6b2701af80b42f00f26b2a161f1eee73826b483e3d0

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/0001410187.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"])))