LGAM Private Credit LLC: retained earnings or deficit
Retained earnings or deficit for LGAM Private Credit LLC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All LGAM Private Credit LLC financial histories
What this measure means
Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.
Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2023-02-06 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | -1,586,000 | USD | 2026-03-04 | 10-K · 0001193125-26-091583 |
| At date | 2024-12-31 | 1,622,000 | USD | 2026-03-04 | 10-K · 0001193125-26-091583 |
| At date | 2023-12-31 | 192,000 | USD | 2026-03-04 | 10-K · 0001193125-26-091583 |
| At date | 2023-02-06 | 0 | USD | 2026-03-04 | 10-K · 0001193125-26-091583 |
Related financial histories
- LGAM Private Credit LLC: total assets
- LGAM Private Credit LLC: total liabilities
- LGAM Private Credit LLC: stockholders equity
- LGAM Private Credit LLC: cash and cash equivalents
- LGAM Private Credit LLC: net income or loss
- LGAM Private Credit LLC: operating cash flow
- LGAM Private Credit LLC: financing cash flow
- LGAM Private Credit LLC: basic weighted-average shares
- LGAM Private Credit LLC: diluted weighted-average shares
- LGAM Private Credit LLC: basic earnings per share
- LGAM Private Credit LLC: diluted earnings per share
- LGAM Private Credit LLC: interest expense
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
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
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"])))