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DALRADA TECHNOLOGY GROUP, INC.: filings

Every DALRADA TECHNOLOGY GROUP, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 32 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-Q2026-05-21fiscal Q3 2026561600001683168-26-004188
10-Q2026-02-23fiscal Q2 2026561590001683168-26-001236
10-Q2025-11-14fiscal Q1 2026571150001683168-25-008449
10-K2025-09-30fiscal FY 2025621250001683168-25-007318
10-Q2025-08-01fiscal Q3 2025551550001683168-25-005554
10-Q2025-07-21fiscal Q2 2025531450001683168-25-005250
10-Q2025-06-23fiscal Q1 2025531070001683168-25-004717
10-K/A2025-06-06fiscal FY 2024591200001683168-25-004299
10-Q/A2025-06-06fiscal Q3 2024551610001683168-25-004297
10-Q/A2025-06-06fiscal Q2 2024521470001683168-25-004295
10-Q/A2024-12-30fiscal Q3 2024551610001683168-24-009018
10-Q2024-05-14fiscal Q3 2024551610001683168-24-003323
10-Q2024-02-14fiscal Q2 2024501390001683168-24-000995
10-Q2023-11-14fiscal Q1 2024511030001683168-23-008121
10-K2023-10-19fiscal FY 2023571160001683168-23-007283
10-Q2023-05-15fiscal Q3 2023521470001683168-23-003389
10-Q2023-02-14fiscal Q2 2023511430001683168-23-000884
10-Q2022-11-29fiscal Q1 2023521090001683168-22-008081
10-K2022-11-01fiscal FY 2022561110001683168-22-007171
10-Q2022-05-23fiscal Q3 2022511420001683168-22-003960
10-Q2022-02-14fiscal Q2 2022501400001683168-22-000977
10-Q2021-11-19fiscal Q1 2022531110001683168-21-005841
10-K2021-10-13fiscal FY 2021551110001683168-21-004821
10-Q2021-05-17fiscal Q3 2021481390001683168-21-002039
10-Q2021-02-12fiscal Q2 2021481350001683168-21-000517
10-Q/A2020-11-18fiscal Q1 202148990001683168-20-004002
10-Q2020-11-16fiscal Q1 202148990001683168-20-003954
10-K2020-10-15fiscal FY 2020501010001683168-20-003456
10-Q2020-06-29fiscal Q3 2020431280001683168-20-002133
10-Q2020-04-14fiscal Q2 2020431240001683168-20-001166
10-Q2020-02-26fiscal Q1 202034720001683168-20-000584
10-K2020-01-30fiscal FY 201937760001683168-20-000305

Inspect the source

Entity
DALRADA TECHNOLOGY GROUP, INC. / CIK 0000725394
Captured
2026-09-19T15:00:16.606Z
SEC response SHA-256
5da1cefd0a6509e9e111614736c1f9ecfb25df37049d1d16063412f7f14a4e1c

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/0000725394.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"])))