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SECURETECH INNOVATIONS, INC.: filings

Every SECURETECH INNOVATIONS, INC. 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-Q2026-08-19fiscal Q2 2026451070001017386-26-000126
10-Q/A2026-08-06fiscal Q1 202645850001017386-26-000103
10-K/A2026-08-06fiscal FY 202548820001017386-26-000101
10-Q/A2026-08-05fiscal Q3 2025451090001017386-26-000098
10-Q/A2026-08-05fiscal Q2 202537830001017386-26-000097
10-Q2026-05-15fiscal Q1 202645850001017386-26-000066
10-K2026-03-25fiscal FY 202547800001017386-26-000016
10-Q2025-11-20fiscal Q3 202541980001017386-25-000148
10-Q2025-08-19fiscal Q2 202534790001017386-25-000115
10-Q2025-05-15fiscal Q1 202528540001017386-25-000073
10-K2025-03-31fiscal FY 202432620001017386-25-000028
10-Q2024-11-19fiscal Q3 202430840001017386-24-000272
10-Q2024-08-14fiscal Q2 202430820001017386-24-000216
10-Q2024-05-15fiscal Q1 202429590001017386-24-000150
10-K2024-05-01fiscal FY 202334670001017386-24-000116
10-Q2023-11-13fiscal Q3 202329840001017386-23-000352
10-Q2023-08-14fiscal Q2 202329760001017386-23-000303
10-Q2023-05-15fiscal Q1 202327550001017386-23-000211
10-K2023-04-13fiscal FY 202230580001017386-23-000145
10-Q2022-10-28fiscal Q3 202226640001017386-22-000469
10-Q2022-08-15fiscal Q2 202226660001017386-22-000361
10-Q2022-04-25fiscal Q1 202221440001017386-22-000176
10-K2022-03-30fiscal FY 202121450001017386-22-000084
10-Q2021-10-28fiscal Q3 202121580001017386-21-000466
10-Q2021-08-13fiscal Q2 202121570001017386-21-000329
10-Q2021-04-30fiscal Q1 202119390001703157-21-000016
10-K2021-03-18fiscal FY 202023400001703157-21-000003
10-Q2020-10-23fiscal Q3 202022530001703157-20-000015
10-Q2020-08-06fiscal Q2 202022500001703157-20-000013
10-Q2020-05-04fiscal Q1 202016330001703157-20-000008
10-K2020-02-21fiscal FY 201918340001703157-20-000005
10-Q2019-10-21fiscal Q3 201917430001703157-19-000017
10-Q2019-07-22fiscal Q2 201917420001703157-19-000014
10-Q2019-05-16fiscal Q1 201916310001703157-19-000012
10-K2019-02-19fiscal FY 201819330001703157-19-000003
10-Q2018-10-25fiscal Q3 201814260001703157-18-000043
10-Q2018-07-24fiscal Q2 201814260001703157-18-000038
10-Q2018-05-02fiscal Q1 201813210001703157-18-000034

Inspect the source

Entity
SECURETECH INNOVATIONS, INC. / CIK 0001703157
Captured
2026-09-21T17:26:01.589Z
SEC response SHA-256
efbf00c6c61e0b09f14ccb768a5c6656d18f9d63d5f09686d6eb3886752addfb

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/0001703157.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"])))