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Goldman Sachs Middle Market Lending Corp. II: filings

Every Goldman Sachs Middle Market Lending Corp. II 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-Q2025-08-12fiscal Q2 202516500000950170-25-107356
10-Q2025-05-13fiscal Q1 202516360000950170-25-070323
10-K2025-03-04fiscal FY 202416480000950170-25-032234
10-Q2024-11-12fiscal Q3 202416500000950170-24-125396
10-Q2024-08-13fiscal Q2 202417540000950170-24-096226
10-Q2024-05-09fiscal Q1 202417380000950170-24-056961
10-K2024-03-05fiscal FY 202317480000950170-24-026160
10-Q2023-11-07fiscal Q3 202316500000950170-23-060348
10-Q2023-08-08fiscal Q2 202316500000950170-23-039876
10-Q2023-05-09fiscal Q1 202316360000950170-23-019645

Inspect the source

Entity
Goldman Sachs Middle Market Lending Corp. II / CIK 0001865174
Captured
2026-09-21T17:22:17.342Z
SEC response SHA-256
6f25a2f3f8fd957c5e489470869eed679c7a115ecbd8c8921e848ee8da487ec7

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/0001865174.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"])))