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Token Communities, Ltd.: filings

Every Token Communities, Ltd. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-K2026-04-03fiscal FY 202527560001477932-26-001992
10-Q2025-05-19fiscal Q3 202526790001477932-25-003956
10-Q2025-02-19fiscal Q2 202528840001477932-25-001136
10-Q/A2025-01-23fiscal Q1 202528600001477932-25-000411
10-Q2025-01-14fiscal Q1 202530640001477932-25-000225
10-K2024-12-31fiscal FY 202428570001477932-24-008431
10-Q/A2024-11-13fiscal Q3 202420660001477932-24-007080
10-Q/A2024-10-15fiscal Q2 202423720001477932-24-006420
10-Q/A2024-09-12fiscal Q1 202424550001477932-24-005691
10-K/A2024-08-05fiscal FY 202323480001477932-24-004539
10-Q2024-07-12fiscal Q3 202426770001477932-24-004190
10-Q2024-04-10fiscal Q2 202426800001477932-24-001952
10-Q2023-11-16fiscal Q1 202424590001477932-23-008563
10-K2023-10-13fiscal FY 202326610001477932-23-007616
10-Q2023-06-01fiscal Q3 202324680001477932-23-004157
10-Q/A2023-05-05fiscal Q2 202322620001477932-23-003136
10-Q/A2023-05-05fiscal Q1 202323500001477932-23-003135
10-K/A2023-05-05fiscal FY 202222460001477932-23-003129
10-Q2023-02-21fiscal Q2 202323640001477932-23-001166
10-Q2022-11-21fiscal Q1 202330640001213900-22-074113
10-K2022-10-13fiscal FY 202230610001213900-22-063699
10-Q2022-05-18fiscal Q3 202229820001213900-22-027934
10-Q2022-02-17fiscal Q2 202227740001213900-22-008263
10-Q2021-11-18fiscal Q1 202124550001213900-21-060623
10-K2021-10-12fiscal FY 202122450001213900-21-052400
10-Q2021-05-19fiscal Q3 202123630001213900-21-027844
10-Q2021-02-22fiscal Q2 202122610001213900-21-010774
10-Q2020-09-25fiscal Q1 201926550001213900-20-028375
10-K2019-03-07fiscal FY 201818200001683252-19-000007
10-Q2018-05-21fiscal Q3 201818540001683252-18-000020
10-Q2018-02-15fiscal Q2 201819560001504412-18-000006
10-Q2017-11-20fiscal Q3 201716320001504412-17-000027
10-K2017-09-29fiscal FY 201720350001504412-17-000017
10-Q2017-04-24fiscal Q3 201718360001683252-17-000010
10-Q2017-02-23fiscal Q2 201718340001683252-17-000005
10-Q2017-02-08fiscal Q2 201718340001683252-17-000003
10-Q2016-11-08fiscal Q1 201719300001504412-16-000339

Inspect the source

Entity
Token Communities, Ltd. / CIK 0001683252
Captured
2026-09-21T17:23:13.797Z
SEC response SHA-256
9c74ce3ef9e0e0c85723d73c85d704b71b151cd8f3ec7541f2c9deb3bef4fc3d

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/0001683252.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"])))