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LANDBAY INC: filings

Every LANDBAY INC annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-02-02fiscal Q1 202627490001099910-26-000058
10-K2025-08-08fiscal FY 202530570001641172-25-022649
10-Q2025-02-14fiscal Q3 202529860001493152-25-006851
10-Q2024-11-19fiscal Q2 202528850001493152-24-046709
10-Q2024-08-14fiscal Q1 202520400001493152-24-032173
10-K2024-07-01fiscal FY 202428530001493152-24-025788
10-Q2024-02-05fiscal Q3 202429850001493152-24-004917
10-Q2023-11-09fiscal Q2 202428750001493152-23-039995
10-Q2023-08-09fiscal Q1 202427480001493152-23-027343
10-K2023-06-29fiscal FY 202327510001493152-23-022913
10-Q2023-02-13fiscal Q3 202327710001493152-23-004473
10-Q2022-11-14fiscal Q2 202328700001493152-22-031976
10-Q2022-08-15fiscal Q1 202325430001493152-22-022874
10-K2022-06-29fiscal FY 202229600001493152-22-018102
10-Q2022-01-24fiscal Q3 202222640001493152-22-002097
10-Q2021-11-05fiscal Q2 202121610001493152-21-027347
10-Q2021-08-05fiscal Q1 202117340001493152-21-018679
10-K2021-06-24fiscal FY 202124480001493152-21-015199
10-Q2021-01-27fiscal Q3 202121610001493152-21-001867
10-Q2020-10-26fiscal Q2 202124650001017386-20-000441
10-Q2020-08-03fiscal Q1 202119400001017386-20-000243
10-K2020-06-30fiscal FY 202024410001017386-20-000187
10-Q2020-02-18fiscal Q3 202024450001017386-20-000041
10-Q2019-11-18fiscal Q2 202025450001017386-19-000323
10-Q2019-09-27fiscal Q1 202014300001017386-19-000266
10-K2019-07-15fiscal FY 201817360001672572-19-000006
10-Q2019-02-27fiscal Q3 201816360001672572-19-000002
10-Q/A2018-11-23fiscal Q2 201816360001672572-18-000017
10-Q2018-11-07fiscal Q2 201815350001672572-18-000016
10-Q2018-08-13fiscal Q1 201813280001672572-18-000014
10-K2018-06-29fiscal FY 201816300001672572-18-000011
10-K2018-03-07fiscal FY 201714250001672572-18-000008
10-Q/A2018-03-02fiscal Q2 201713310001672572-18-000007
10-Q2018-02-12fiscal Q3 201717380001672572-18-000003
10-Q2017-11-06fiscal Q2 201712140001672572-17-000014
10-Q2017-07-19fiscal Q2 201713150001672572-17-000013
10-K2017-06-27fiscal FY 201714150001672572-17-000011
10-Q/A2017-01-30fiscal Q1 201615170001672572-17-000004

Inspect the source

Entity
LANDBAY INC / CIK 0001672572
Captured
2026-09-21T17:22:47.981Z
SEC response SHA-256
accd9405a90c688304a819039fea2d191e44e17f78fbf2c60e5afd9502781e33

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/0001672572.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"])))