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BioCrude Technologies USA, Inc.: filings

Every BioCrude Technologies USA, 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-Q2026-08-11fiscal Q2 202627750001731122-26-001036
10-Q2026-05-13fiscal Q1 202626540001731122-26-000715
10-K2026-03-27fiscal FY 202531620001731122-26-000496
10-Q2025-11-12fiscal Q3 202528800001731122-25-001509
10-Q2025-08-13fiscal Q2 202528770001731122-25-001111
10-Q2025-05-14fiscal Q1 202526530001731122-25-000732
10-K2025-03-27fiscal FY 202430620001731122-25-000459
10-Q2024-11-07fiscal Q3 202431940001731122-24-001738
10-Q2024-08-09fiscal Q2 202431890001731122-24-001220
10-Q2024-05-08fiscal Q1 202431660001731122-24-000756
10-K2024-03-27fiscal FY 202332680001731122-24-000503
10-Q2023-11-13fiscal Q3 202330880001731122-23-002066
10-Q2023-08-11fiscal Q2 202325670001731122-23-001446
10-Q2023-05-11fiscal Q1 202326560001731122-23-000866
10-K2023-03-29fiscal FY 202228600001731122-23-000488
10-Q2022-11-04fiscal Q3 202225690001731122-22-001853
10-Q2022-08-10fiscal Q2 202226700001731122-22-001314
10-Q2022-05-10fiscal Q1 202217370001731122-22-000853
10-K2022-03-23fiscal FY 202219380001731122-22-000498
10-Q2021-11-08fiscal Q3 202122580001731122-21-001824
10-Q2021-08-02fiscal Q2 202120540001731122-21-001285
10-Q2021-05-04fiscal Q1 202120390001731122-21-000742
10-K2021-02-12fiscal FY 202019400001731122-21-000226
10-Q2020-11-10fiscal Q3 202028780001731122-20-001121
10-Q2020-08-10fiscal Q2 202023670001731122-20-000822
10-Q2020-05-12fiscal Q1 202020420001731122-20-000486
10-K2020-03-20fiscal FY 201921420001731122-20-000283
10-Q2019-11-13fiscal Q3 201923640001731122-19-000679
10-Q2019-08-12fiscal Q2 201921600001731122-19-000466
10-Q2019-05-14fiscal Q1 201921440001731122-19-000241
10-K2019-04-17fiscal FY 201822410001731122-19-000199
10-Q2018-11-08fiscal Q3 201819520001731122-18-000145
10-K/A2018-11-02fiscal FY 201716330001731122-18-000125
10-Q2018-08-24fiscal Q2 201817460001615774-18-008603
10-Q2018-05-16fiscal Q1 201813250001615774-18-003915
10-K2018-03-27fiscal FY 201715310001615774-18-002109
10-Q2017-10-24fiscal Q3 201712380001615774-17-005878
10-Q2017-09-12fiscal Q2 201712380001615774-17-005016

Inspect the source

Entity
BioCrude Technologies USA, Inc. / CIK 0001690384
Captured
2026-09-21T17:24:05.073Z
SEC response SHA-256
89c76d3d401fe6afb068748f997c9daeba79c1147b3d9c59f4ddc55dd1617a16

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/0001690384.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"])))