Skip to content

Goldman Sachs Private Middle Market Credit II LLC: filings

Every Goldman Sachs Private Middle Market Credit II LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 14 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-Q2026-08-11fiscal Q2 202617510001193125-26-344590
10-Q2026-05-12fiscal Q1 202617390001193125-26-219875
10-K2026-03-03fiscal FY 202518520001193125-26-088646
10-Q2025-11-12fiscal Q3 202517500001193125-25-277541
10-Q2025-08-12fiscal Q2 202517500000950170-25-107341
10-Q2025-05-13fiscal Q1 202517360000950170-25-070313
10-K2025-03-04fiscal FY 202418530000950170-25-032221
10-Q2024-11-12fiscal Q3 202418510000950170-24-125352
10-Q2024-08-13fiscal Q2 202418510000950170-24-096216
10-Q2024-05-09fiscal Q1 202417360000950170-24-056976
10-K2024-03-05fiscal FY 202318540000950170-24-026141
10-Q2023-11-07fiscal Q3 202318520000950170-23-060342
10-Q2023-08-08fiscal Q2 202317480000950170-23-039902
10-Q2023-05-09fiscal Q1 202316340000950170-23-019617

Inspect the source

Entity
Goldman Sachs Private Middle Market Credit II LLC / CIK 0001772704
Captured
2026-09-21T17:19:50.562Z
SEC response SHA-256
a6079197b8527af2bf7bd5de504b4c5a80b5aa393c2d15a29d170a8f5a7c4207

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/0001772704.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"])))