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AMPERICO LTD: filings

Every AMPERICO LTD 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 2020-02-10

The latest filing in this captured record is a 10-K/A filed 2020-02-10. No later filing is in the SEC companyfacts record captured on 2026-09-23. AMPERICO LTD 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/A2020-02-10fiscal FY 201918350001214659-20-001124
10-Q/A2020-02-10fiscal Q3 201917530001214659-20-001122
10-Q/A2020-02-10fiscal Q2 201917530001214659-20-001120
10-Q/A2020-02-03fiscal Q1 201918410001214659-20-000818
10-K2019-12-30fiscal FY 201918350001214659-19-008021
10-Q2019-12-27fiscal Q3 201914470001214659-19-008008
10-Q2019-12-26fiscal Q2 201914470001214659-19-008004
10-Q2019-12-26fiscal Q1 201915350001214659-19-008001
10-K2019-12-26fiscal FY 201818350001214659-19-007983
10-Q2019-12-26fiscal Q3 201814470001214659-19-007975
10-Q2019-12-26fiscal Q2 201814470001214659-19-007973
10-Q2019-12-26fiscal Q1 201814330001214659-19-007971
10-K2019-12-26fiscal FY 201718350001214659-19-007954
10-Q2019-12-26fiscal Q3 201714470001214659-19-007952
10-Q2019-12-26fiscal Q2 201714470001214659-19-007951
10-Q2019-12-26fiscal Q1 201714330001214659-19-007950
10-K2019-12-26fiscal FY 201618350001214659-19-007949
10-Q2019-12-26fiscal Q3 201614470001214659-19-007948
10-Q2019-12-26fiscal Q2 201614470001214659-19-007947
10-Q2019-12-26fiscal Q1 201615350001214659-19-007946
10-K2019-12-26fiscal FY 201518370001214659-19-007945
10-Q2019-12-26fiscal Q3 201517470001214659-19-007944
10-Q2019-12-26fiscal Q2 201517470001214659-19-007943
10-Q2019-12-26fiscal Q1 201517330001214659-19-007942
10-K2019-12-06fiscal FY 201419360001214659-19-007601
10-Q2014-04-14fiscal Q3 201411310001477932-14-001735
10-Q2014-01-22fiscal Q2 201411320001477932-14-000327
10-Q2013-12-23fiscal Q1 201411250001165527-13-001062
10-K2013-08-29fiscal FY 201316420001165527-13-000772
10-Q2013-03-28fiscal Q3 201310290001554054-13-000005
10-Q2013-03-28fiscal Q2 201310230001554054-13-000003

Inspect the source

Entity
AMPERICO LTD / CIK 0001554054
Captured
SEC response SHA-256
da67cc0b46138b8479051bca112868ac72ac45239284442e0b52f5f64c6c955e

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/0001554054.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"])))