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FS Credit Real Estate Income Trust, Inc.: filings

Every FS Credit Real Estate Income 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-Q2026-08-14fiscal Q2 202625780001628280-26-057041
10-Q2026-05-13fiscal Q1 202625540001628280-26-034549
10-K2026-03-13fiscal FY 202526730001628280-26-017626
10-Q2025-11-13fiscal Q3 202525780001628280-25-051931
10-Q2025-08-13fiscal Q2 202525780001628280-25-040107
10-Q2025-05-13fiscal Q1 202525540001628280-25-025088
10-K2025-03-21fiscal FY 202426730001628280-25-014348
10-Q2024-11-14fiscal Q3 202425780001628280-24-047862
10-K/A2024-10-02fiscal FY 202327760001628280-24-041860
10-Q2024-08-12fiscal Q2 202426820001628280-24-036723
10-Q2024-05-15fiscal Q1 202426560001628280-24-023516
10-K2024-03-15fiscal FY 202327760001628280-24-011520
10-Q2023-11-13fiscal Q3 202326820001628280-23-038696
10-Q2023-08-14fiscal Q2 202326820001628280-23-029283
10-Q2023-05-15fiscal Q3 202326560001193125-23-144926
10-K2023-03-31fiscal FY 202227740001193125-23-087934
10-Q2022-11-14fiscal Q3 202226800001193125-22-284313
10-Q2022-08-15fiscal Q2 202225760001193125-22-221351
10-Q2022-05-16fiscal Q1 202219430001193125-22-151863
10-K2022-03-30fiscal FY 202121590001193125-22-090076
10-Q2021-11-15fiscal Q3 202119560001193125-21-330007
10-Q2021-08-16fiscal Q2 202119560001193125-21-247838
10-Q2021-05-14fiscal Q1 202118410001193125-21-161937
10-K2021-03-29fiscal FY 202019600001193125-21-096833
10-Q2020-11-13fiscal Q3 202019560001193125-20-292868
10-Q2020-08-14fiscal Q2 202019570001193125-20-220297
10-Q2020-05-15fiscal Q1 202019430001193125-20-144058
10-K2020-03-27fiscal FY 201919580001193125-20-088961
10-Q2019-11-14fiscal Q3 201918520001193125-19-292303
10-Q2019-08-14fiscal Q2 201918520001193125-19-221229
10-Q2019-05-15fiscal Q1 201918400001193125-19-147878
10-K2019-03-21fiscal FY 201817410001193125-19-082139
10-Q2018-11-14fiscal Q3 201815390001193125-18-326642
10-Q2018-08-14fiscal Q2 201815280001193125-18-248446
10-Q2018-05-14fiscal Q1 201810210001193125-18-162142
10-K2018-03-22fiscal FY 201710160001193125-18-092026
10-Q2017-11-14fiscal Q3 201710180001193125-17-342331

Inspect the source

Entity
FS Credit Real Estate Income Trust, Inc. / CIK 0001690536
Captured
2026-09-21T17:24:06.660Z
SEC response SHA-256
a9340ccd4520163e6215bb325be3de2dce688b83d434022719a4961d8e4df721

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/0001690536.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"])))