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Five Point Holdings, LLC: filings

Every Five Point Holdings, LLC 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-Q2026-07-24fiscal Q2 2026351010001574197-26-000027
10-Q2026-04-24fiscal Q1 202633710001574197-26-000020
10-K2026-03-06fiscal FY 2025401100001574197-26-000005
10-Q2025-10-31fiscal Q3 202534990001574197-25-000084
10-Q2025-07-25fiscal Q2 202533970001574197-25-000072
10-Q2025-04-25fiscal Q1 202532690001574197-25-000059
10-K2025-02-24fiscal FY 2024391080001574197-25-000006
10-Q2024-10-18fiscal Q3 202433970001574197-24-000082
10-Q2024-07-19fiscal Q2 202432950001574197-24-000073
10-Q2024-04-22fiscal Q1 202432690001574197-24-000063
10-K2024-03-04fiscal FY 2023391080001574197-24-000018
10-Q2023-10-23fiscal Q3 202331930001574197-23-000073
10-Q2023-07-21fiscal Q2 202331930001574197-23-000061
10-Q2023-04-24fiscal Q1 202330650001574197-23-000041
10-K2023-03-06fiscal FY 2022381050001574197-23-000011
10-Q2022-10-31fiscal Q3 202230890001574197-22-000077
10-Q2022-08-04fiscal Q2 202230890001574197-22-000066
10-Q2022-05-10fiscal Q1 202230650001574197-22-000050
10-K2022-03-11fiscal FY 2021391080001574197-22-000016
10-Q2021-11-05fiscal Q3 202130890001574197-21-000057
10-Q2021-08-06fiscal Q2 202130890001574197-21-000034
10-Q2021-05-10fiscal Q1 202130650001574197-21-000022
10-K2021-03-10fiscal FY 2020381040001574197-21-000007
10-Q2020-11-09fiscal Q3 202031910001574197-20-000028
10-Q2020-08-07fiscal Q2 202031910001574197-20-000022
10-Q2020-05-11fiscal Q1 202031670001574197-20-000016
10-K2020-03-13fiscal FY 2019371210001574197-20-000004
10-Q2019-11-08fiscal Q3 201931880001574197-19-000022
10-Q2019-08-09fiscal Q2 201931860001574197-19-000019
10-Q2019-05-08fiscal Q1 201932660001574197-19-000014
10-K2019-03-14fiscal FY 2018341160001574197-19-000005
10-Q2018-11-14fiscal Q3 201827790001574197-18-000015
10-Q2018-08-14fiscal Q2 201827790001574197-18-000012
10-Q2018-05-15fiscal Q1 201826580001574197-18-000008
10-K2018-03-30fiscal Q4 2017311070001574197-18-000004
10-Q2017-11-13fiscal Q3 201729820001574197-17-000009
10-Q2017-08-14fiscal Q2 201729820001574197-17-000006
10-Q2017-06-22fiscal Q1 201728590001574197-17-000003

Inspect the source

Entity
Five Point Holdings, LLC / CIK 0001574197
Captured
2026-09-19T11:19:04.055Z
SEC response SHA-256
3bbc14833c52e877ccfa93ce2de690eecee2dcd6ee9b82cdb7d026cad3cb129f

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/0001574197.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"])))