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Next Technology Holding Inc.: filings

Every Next Technology Holding Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-07-24fiscal Q2 202635980001213900-26-081419
10-Q2026-04-29fiscal Q1 202635660001213900-26-048836
10-K2026-03-31fiscal FY 202536690001213900-26-037199
10-Q2025-10-08fiscal Q3 2025361010001213900-25-097321
10-Q2025-08-08fiscal Q2 202527800001213900-25-073282
10-Q2025-05-09fiscal Q1 202525520001213900-25-041307
10-K2025-03-27fiscal FY 202430570001013762-25-003282
10-Q/A2024-12-23fiscal Q3 202427740001213900-24-112023
10-Q/A2024-12-12fiscal Q2 202427780001213900-24-108464
10-Q/A2024-12-09fiscal Q3 202427740001213900-24-106993
10-Q2024-11-15fiscal Q3 202427740001213900-24-098963
10-Q/A2024-09-20fiscal Q2 202427780001213900-24-080438
10-Q/A2024-09-12fiscal Q1 202426530001213900-24-077899
10-K/A2024-09-09fiscal FY 202331560001213900-24-076824
10-Q2024-08-21fiscal Q2 202424690001213900-24-071422
10-K/A2024-06-21fiscal FY 202331560001213900-24-054825
10-Q/A2024-04-02fiscal Q3 202335920001099910-24-000152
10-Q2023-11-20fiscal Q3 202337980001099910-23-000212
10-Q2023-08-22fiscal Q2 2023401110001213900-23-069701
10-Q2023-08-14fiscal Q1 202339820001477932-23-005945
10-K2023-07-14fiscal FY 202239800001477932-23-005290
10-Q2022-11-23fiscal Q3 2022381070001477932-22-008851
10-Q2022-08-15fiscal Q2 202235930001477932-22-006144
10-Q2022-05-23fiscal Q1 202235730001477932-22-003830
10-K2022-04-14fiscal FY 202138770001477932-22-002322
10-Q/A2022-03-28fiscal Q3 202134940001477932-22-001655
10-Q2021-11-22fiscal Q3 202134940001477932-21-008634
10-Q2021-08-16fiscal Q2 202132890001477932-21-005615
10-Q2021-05-28fiscal Q1 202128580001477932-21-003679
10-K2021-03-31fiscal FY 202030580001477932-21-001894
10-Q/A2020-12-15fiscal Q3 202026680001477932-20-007316
10-Q2020-12-02fiscal Q3 202027700001477932-20-007037
10-Q2020-08-14fiscal Q2 202022590001477932-20-004993
10-Q2020-06-29fiscal Q1 202022460001477932-20-003690
10-K2020-03-06fiscal FY 201917180001477932-20-001116
10-Q2019-11-14fiscal Q3 201916210001477932-19-006432

Inspect the source

Entity
Next Technology Holding Inc. / CIK 0001784970
Captured
2026-09-21T17:27:21.200Z
SEC response SHA-256
7a57a40ee2173935eb9a64a9b809babac14365625f06dc52e8277aec0c361651

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/0001784970.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"])))