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KKR Real Estate Finance Trust Inc.: filings

Every KKR Real Estate Finance Trust 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-Q2026-07-21fiscal Q2 202630950001628280-26-049028
10-Q2026-04-22fiscal Q1 202630650001628280-26-026591
10-K2026-02-03fiscal FY 2025301630001628280-26-005092
10-Q2025-10-21fiscal Q3 202530970001628280-25-045722
10-Q2025-07-22fiscal Q2 202530910001631596-25-000041
10-Q2025-04-23fiscal Q1 202530630001631596-25-000029
10-K2025-02-03fiscal FY 2024311630001631596-25-000012
10-Q2024-10-21fiscal Q3 202427810001631596-24-000039
10-Q2024-07-22fiscal Q2 202427830001631596-24-000028
10-Q2024-04-23fiscal Q1 202428590001631596-24-000017
10-K2024-02-06fiscal FY 2023301710001631596-24-000008
10-Q2023-10-23fiscal Q3 202330890001631596-23-000043
10-Q2023-07-24fiscal Q2 202330890001631596-23-000033
10-Q2023-04-24fiscal Q1 202329610001631596-23-000023
10-K2023-02-07fiscal FY 2022301660001631596-23-000009
10-Q2022-10-24fiscal Q3 202230870001631596-22-000047
10-Q2022-07-25fiscal Q2 202230870001631596-22-000033
10-Q2022-04-25fiscal Q1 202229620001631596-22-000024
10-K2022-02-08fiscal FY 2021271570001631596-22-000012
10-Q2021-10-25fiscal Q3 202126770001631596-21-000049
10-Q2021-07-26fiscal Q2 202126760001631596-21-000040
10-Q2021-04-26fiscal Q1 202126540001631596-21-000027
10-K2021-02-16fiscal FY 2020281580001631596-21-000013
10-Q2020-10-26fiscal Q3 202026770001631596-20-000032
10-Q2020-08-03fiscal Q2 202026770001631596-20-000023
10-Q2020-04-28fiscal Q1 202026550001631596-20-000015
10-K2020-02-19fiscal FY 2019291700001631596-20-000006
10-Q2019-10-30fiscal Q3 201929860001631596-19-000019
10-Q2019-08-01fiscal Q2 201928840001631596-19-000014
10-Q2019-05-01fiscal Q1 201928580001631596-19-000010
10-K2019-02-20fiscal FY 2018291620001631596-19-000005
10-Q2018-11-05fiscal Q3 201828860001631596-18-000019
10-Q2018-08-06fiscal Q2 201828860001631596-18-000015
10-Q2018-05-09fiscal Q1 201828580001631596-18-000009
10-K2018-02-28fiscal Q4 2017281490001631596-18-000003
10-Q2017-11-07fiscal Q3 201728840001631596-17-000019
10-Q2017-08-09fiscal Q2 201727820001631596-17-000011
10-Q2017-06-14fiscal Q1 201722460001631596-17-000008

Inspect the source

Entity
KKR Real Estate Finance Trust Inc. / CIK 0001631596
Captured
2026-09-21T17:22:09.200Z
SEC response SHA-256
c1dbafc976af91f5ef96950fb522ac4999c46b070a4059ee61d5c1d786f9c9ee

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/0001631596.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"])))