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Digerati Technologies, Inc.: filings

Every Digerati Technologies, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2024-06-14

The latest filing in this captured record is a 10-Q filed 2024-06-14. No later filing is in the SEC companyfacts record captured on 2026-09-20. Digerati Technologies, Inc. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2024-06-14fiscal Q3 2024481330001213900-24-052894
10-Q2024-03-22fiscal Q2 2024481290001213900-24-025177
10-Q2023-12-26fiscal Q1 202446950001213900-23-098334
10-K2023-11-24fiscal FY 2023501010001213900-23-089905
10-Q2023-06-15fiscal Q3 2023461270001213900-23-049271
10-Q2023-03-17fiscal Q2 2023451210001213900-23-021011
10-Q2022-12-15fiscal Q1 202343920001213900-22-080200
10-K2022-10-31fiscal FY 202245910001213900-22-067679
10-Q2022-06-21fiscal Q3 2022421170001213900-22-033744
10-Q2022-03-17fiscal Q2 2022411120001213900-22-013287
10-Q2021-12-14fiscal Q1 202240830001213900-21-065182
10-K2021-10-26fiscal FY 202145900001213900-21-054631
10-Q2021-06-09fiscal Q3 2021401130001213900-21-031746
10-Q2021-03-16fiscal Q2 2021411110001213900-21-015732
10-Q2020-12-14fiscal Q1 202140840001213900-20-042508
10-K2020-10-29fiscal FY 202047940001213900-20-033960
10-Q2020-06-09fiscal Q3 2020411210001213900-20-014518
10-Q2020-03-06fiscal Q2 2020411150001213900-20-005621
10-Q2019-12-13fiscal Q1 201942860001213900-19-026157
10-K2019-10-28fiscal FY 201944870001213900-19-021294
10-Q2019-06-14fiscal Q3 2019411140001213900-19-010796
10-Q2019-03-18fiscal Q2 2019401010001213900-19-004372
10-K2019-02-13fiscal FY 201841780001213900-19-002388
10-Q2019-02-13fiscal Q3 201832720001213900-19-002381
10-Q2019-02-13fiscal Q2 201829680001213900-19-002377
10-Q2019-02-13fiscal Q1 201829560001213900-19-002360
10-K2019-02-13fiscal FY 201738760001213900-19-002354
10-Q2018-12-14fiscal Q1 201939780001213900-18-017369

Inspect the source

Entity
Digerati Technologies, Inc. / CIK 0001014052
Captured
2026-09-20T05:12:42.367Z
SEC response SHA-256
b100170c34b909aee6d8d594533d295e3a1851119a15c456fee01e7ad9067477

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/0001014052.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"])))