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LGAM Private Credit LLC: filings

Every LGAM Private Credit LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 11 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 202619580001193125-26-344644
10-Q2026-05-14fiscal Q1 202619440001193125-26-223958
10-K2026-03-04fiscal FY 202519560001193125-26-091583
10-Q2025-11-12fiscal Q3 202519580001193125-25-277611
10-Q2025-08-12fiscal Q2 202519580001983514-25-000057
10-Q2025-05-13fiscal Q1 202519440001983514-25-000036
10-K2025-03-05fiscal FY 202419400001983514-25-000022
10-Q2024-11-12fiscal Q3 202419570001983514-24-000092
10-Q2024-08-12fiscal Q2 202419570001983514-24-000062
10-Q2024-05-13fiscal Q1 202419420001983514-24-000037
10-K2024-03-06fiscal FY 202318200001983514-24-000018

Inspect the source

Entity
LGAM Private Credit LLC / CIK 0001983514
Captured
2026-09-21T17:25:35.350Z
SEC response SHA-256
bbdee5d36a30ed7cee092e4f6fcb0d241061c5176cba6ee7747b3c6c9c1c2e63

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/0001983514.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"])))