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GRANITE POINT MORTGAGE TRUST INC.: filings

Every GRANITE POINT MORTGAGE TRUST INC. 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-Q2026-08-05fiscal Q2 202627860001703644-26-000034
10-Q2026-05-05fiscal Q1 202627580001703644-26-000020
10-K2026-03-02fiscal FY 202527750001703644-26-000012
10-Q2025-11-05fiscal Q3 202526860001703644-25-000134
10-Q2025-08-05fiscal Q2 202526820001703644-25-000120
10-Q2025-05-06fiscal Q1 202527580001703644-25-000077
10-K2025-02-27fiscal FY 202428790001703644-25-000037
10-Q2024-11-06fiscal Q3 202428900001703644-24-000134
10-Q2024-08-05fiscal Q2 202428860001703644-24-000125
10-Q2024-05-07fiscal Q1 202428600001703644-24-000071
10-K2024-03-01fiscal FY 202328790001703644-24-000032
10-Q2023-11-07fiscal Q3 202327860001703644-23-000118
10-Q2023-08-08fiscal Q2 202326800001703644-23-000106
10-Q2023-05-09fiscal Q1 202325540001703644-23-000073
10-K2023-03-02fiscal FY 202225720001703644-23-000053
10-Q2022-11-08fiscal Q3 202225810001703644-22-000119
10-Q2022-08-08fiscal Q2 202225780001703644-22-000110
10-Q2022-05-10fiscal Q1 202224520001703644-22-000076
10-K2022-02-25fiscal FY 202126740001703644-22-000056
10-Q2021-11-08fiscal Q3 202126830001703644-21-000107
10-Q2021-08-09fiscal Q2 202125770001703644-21-000091
10-Q2021-05-06fiscal Q1 202124520001703644-21-000063
10-K2021-03-05fiscal FY 2020261320001703644-21-000047
10-Q2020-11-09fiscal Q3 202025850001703644-20-000072
10-Q2020-08-10fiscal Q2 202025800001703644-20-000061
10-Q2020-05-11fiscal Q1 202025570001703644-20-000025
10-K2020-03-02fiscal FY 2019261330001703644-20-000010
10-Q2019-11-05fiscal Q3 201928950001703644-19-000099
10-Q2019-08-05fiscal Q2 201927890001703644-19-000079
10-Q2019-05-07fiscal Q1 201927610001703644-19-000048
10-K2019-02-27fiscal FY 2018271420001703644-19-000033
10-Q2018-11-06fiscal Q3 201827840001703644-18-000078
10-Q2018-08-07fiscal Q2 201827840001703644-18-000071
10-Q2018-05-10fiscal Q1 201825540001703644-18-000031
10-K2018-03-16fiscal FY 201722890001703644-18-000018
10-Q2017-11-14fiscal Q3 201723690001703644-17-000049
10-Q2017-08-14fiscal Q2 201721630001703644-17-000007

Inspect the source

Entity
GRANITE POINT MORTGAGE TRUST INC. / CIK 0001703644
Captured
2026-09-19T11:20:33.595Z
SEC response SHA-256
b812721bf5e74425850f62b618b0bb9d2b063b985633d680152fdb59c0d68c6c

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/0001703644.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"])))