Skip to content

KORTH DIRECT MORTGAGE INC.: filings

Every KORTH DIRECT MORTGAGE INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 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-Q2026-07-01fiscal Q1 202635720001214659-26-008039
10-K2026-06-01fiscal FY 202537740001214659-26-006969
10-Q2025-11-13fiscal Q3 202536740001214659-25-016397
10-Q2025-08-14fiscal Q2 202535710001214659-25-012201
10-Q2025-05-15fiscal Q1 202534710001214659-25-007911
10-K2025-04-01fiscal FY 202437730001214659-25-005139
10-Q2024-11-14fiscal Q3 202433690001214659-24-019193
10-Q2024-08-14fiscal Q2 202434700001214659-24-014736
10-Q2024-05-20fiscal Q1 202433690001214659-24-009649
10-K2024-03-27fiscal FY 202336720001214659-24-005293
10-Q2023-11-14fiscal Q3 202335720001214659-23-014973
10-Q2023-08-11fiscal Q2 202336740001214659-23-011045
10-Q2023-05-12fiscal Q1 202333690001214659-23-006964
10-K2023-03-31fiscal FY 202235700001214659-23-004585
10-Q2022-11-14fiscal Q3 202234700001214659-22-013734
10-Q2022-08-15fiscal Q2 202234700001214659-22-010126
10-Q2022-05-13fiscal Q3 202233700001214659-22-006827
10-K2022-03-31fiscal FY 202135720001214659-22-004576
10-Q2021-11-15fiscal Q2 202134670001214659-21-011725
10-Q/A2021-09-02fiscal Q2 202134640001214659-21-009274
10-Q2021-08-16fiscal Q2 202134640001214659-21-008603
10-Q2021-05-19fiscal Q1 202134630001214659-21-005711
10-K2021-03-30fiscal FY 202034580001214659-21-003563
10-Q2020-11-20fiscal Q3 202033560001214659-20-009790
10-Q2020-08-11fiscal Q2 202023420001214659-20-006944
10-Q2020-06-29fiscal Q1 202023420001214659-20-005919
10-K2020-05-14fiscal FY 201922400001214659-20-004496
10-Q2019-11-13fiscal Q3 201914270001214659-19-007092
10-Q2019-08-14fiscal Q2 201911240001214659-19-005291
10-Q2019-05-14fiscal Q1 201911240001214659-19-003427
10-K2019-03-28fiscal FY 201811220001214659-19-002329
10-Q2018-11-13fiscal Q3 201810220001214659-18-007064
10-Q2018-08-15fiscal Q2 201810220001214659-18-005546
10-Q2018-05-18fiscal Q1 201810220001214659-18-003894
10-K2018-04-02fiscal FY 201712220001214659-18-002528

Inspect the source

Entity
KORTH DIRECT MORTGAGE INC. / CIK 0001695963
Captured
2026-09-21T17:24:26.209Z
SEC response SHA-256
ca73d80e5553490b5dcf03570e74cf162447bc3943b315f740172f7e32161df5

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/0001695963.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"])))