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KULR Technology Group, Inc.: filings

Every KULR Technology Group, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 40 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-Q2026-08-13fiscal Q2 2026441270001104659-26-095924
10-Q2026-05-14fiscal Q1 202644900001104659-26-061180
10-K2026-03-31fiscal FY 2025541070001104659-26-037918
10-Q2025-11-18fiscal Q3 2025441260001104659-25-113662
10-Q2025-08-14fiscal Q2 2025431160001410578-25-001816
10-Q2025-05-15fiscal Q1 202543880001410578-25-001326
10-K2025-03-31fiscal FY 202450980001410578-25-000551
10-Q2024-11-13fiscal Q3 2024421210001410578-24-001936
10-Q2024-08-12fiscal Q2 2024401110001410578-24-001312
10-Q2024-05-15fiscal Q1 202440830001410578-24-000868
10-K2024-04-12fiscal FY 202347920001410578-24-000454
10-Q2023-11-14fiscal Q3 2023421210001410578-23-002476
10-Q2023-08-16fiscal Q2 2023411140001410578-23-001961
10-Q2023-05-15fiscal Q1 202340810001410578-23-001225
10-K2023-03-28fiscal FY 202246900001410578-23-000372
10-Q2022-11-14fiscal Q3 2022401150001410578-22-003282
10-Q2022-08-15fiscal Q2 2022391100001410578-22-002588
10-Q2022-05-16fiscal Q1 202239800001410578-22-001697
10-K2022-03-28fiscal FY 202146880001410578-22-000548
10-Q2021-11-15fiscal Q3 2021351000001104659-21-139201
10-Q2021-08-16fiscal Q2 202135960001104659-21-106417
10-Q2021-05-21fiscal Q1 202129620001104659-21-070128
10-K2021-03-19fiscal FY 202037730001104659-21-038941
10-Q2020-11-13fiscal Q3 202034940001104659-20-125064
10-Q2020-08-14fiscal Q2 202034900001104659-20-095567
10-Q2020-06-25fiscal Q1 202031630001104659-20-076858
10-K2020-05-14fiscal FY 201934700001104659-20-061643
10-Q2019-11-01fiscal Q3 201929870001104659-19-058923
10-Q2019-08-14fiscal Q2 201929810001144204-19-039984
10-Q2019-05-14fiscal Q1 201928600001144204-19-026023
10-K2019-03-29fiscal FY 201834700001144204-19-017012
10-Q2018-11-13fiscal Q3 201828760001144204-18-059382
10-Q2018-08-14fiscal Q2 201824660001144204-18-044566
10-Q2018-05-15fiscal Q1 201826540001144204-18-028718
10-K2018-04-17fiscal FY 201734700001144204-18-020894
10-Q2017-11-17fiscal Q3 201730860001144204-17-059983
10-Q2017-08-18fiscal Q2 201727790001144204-17-044186
10-Q2017-05-22fiscal Q1 201718380001144204-17-028850
10-K2017-03-30fiscal FY 201618380001144204-17-017396
10-Q2016-12-12fiscal Q3 201616330001144204-16-138825

Inspect the source

Entity
KULR Technology Group, Inc. / CIK 0001662684
Captured
2026-09-21T17:24:03.283Z
SEC response SHA-256
8a2e0c1519879fd7cd5d12b4d4bd02dd20caa741332faefb70a95510f7facb97

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/0001662684.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"])))