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FS Specialty Lending Fund: filings

Every FS Specialty Lending Fund annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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-Q2025-08-14fiscal Q2 202516500001628280-25-040339
10-Q2025-05-09fiscal Q1 202516360001628280-25-024213
10-K2025-03-14fiscal FY 202416890001628280-25-012773
10-Q2024-11-13fiscal Q3 202416490001628280-24-047639
10-Q2024-08-14fiscal Q2 202416480001628280-24-037133
10-Q2024-05-15fiscal Q1 202417380001628280-24-023573
10-K2024-03-15fiscal FY 202319940001628280-24-011529
10-Q2023-11-13fiscal Q3 202316500001628280-23-038698
10-Q2023-08-14fiscal Q2 202316500001628280-23-029306
10-Q2023-05-15fiscal Q1 202316360001628280-23-018234

Inspect the source

Entity
FS Specialty Lending Fund / CIK 0001501729
Captured
2026-09-21T17:18:18.325Z
SEC response SHA-256
28dadd21ac1a2ebcc9af16eb2918fabcd772ca944591a936df6f2159886fc3fa

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/0001501729.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"])))