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AMJ Global Technology: filings

Every AMJ Global Technology annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-05-08fiscal Q3 202530940001477932-26-002852
10-Q2025-09-29fiscal Q2 202530900001477932-25-007138
10-Q2025-05-29fiscal Q1 202529620001477932-25-004221
10-K2025-03-03fiscal FY 202424500001477932-25-001401
10-Q2024-10-23fiscal Q3 202424740001477932-24-006633
10-Q2024-07-03fiscal Q2 202423700001477932-24-004061
10-Q2024-04-17fiscal Q1 202418400001477932-24-002211
10-K2024-03-12fiscal FY 202320440001477932-24-001155
10-Q2023-09-26fiscal Q3 202318580001477932-23-007079
10-Q2023-06-26fiscal Q2 202319570001477932-23-004763
10-Q2023-04-19fiscal Q1 202319420001477932-23-002751
10-K2023-02-03fiscal FY 202222460001477932-23-000738
10-Q2022-12-21fiscal Q3 202219620001477932-22-009464
10-Q2022-12-12fiscal Q2 202220600001477932-22-009232
10-Q2022-11-28fiscal Q1 202216360001477932-22-008905
10-K2022-03-11fiscal FY 202121440001477932-22-001348
10-Q2021-10-14fiscal Q3 202119610001477932-21-007250
10-Q2021-09-27fiscal Q2 202118560001477932-21-006687
10-Q2021-09-23fiscal Q1 202119420001477932-21-006579
10-K2021-09-15fiscal FY 202020420001477932-21-006333
10-K2021-07-28fiscal FY 201822460001477932-21-004952
10-Q2021-06-10fiscal Q3 201818600001477932-21-003961
10-Q2021-06-01fiscal Q2 202118580001477932-21-003707
10-Q2021-05-10fiscal Q1 201821460001640334-21-001109
10-K2018-04-19fiscal FY 201720410001477932-18-001947
10-Q2017-10-25fiscal Q3 201719490001477932-17-005216
10-Q2017-08-25fiscal Q2 201719490001477932-17-004211
10-Q2017-04-18fiscal Q1 201719380001477932-17-001820
10-K2017-03-03fiscal FY 201620440001477932-17-001017
10-Q2016-10-12fiscal Q3 201620520001477932-16-012904
10-Q2016-06-16fiscal Q2 201618430001477932-16-010883
10-Q2016-04-06fiscal Q1 201618360001477932-16-009536
10-K2016-02-25fiscal FY 201520380001477932-16-008804
10-Q2015-10-15fiscal Q3 201515430001477932-15-006420
10-Q2015-07-15fiscal Q2 201516500001593773-15-000023
10-Q2015-06-03fiscal Q1 201520470001593773-15-000005
10-K2015-04-27fiscal FY 201420460001593773-15-000003
10-Q2014-10-01fiscal Q3 201420500001593773-14-000018

Inspect the source

Entity
AMJ Global Technology / CIK 0001593773
Captured
2026-09-21T17:20:13.840Z
SEC response SHA-256
b7503b77b1b55b462c9be5fcc5c79265be4c789d3218892242f8b29532467f81

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/0001593773.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"])))