Stone Point Credit Corporation: total liabilities
Total liabilities for Stone Point Credit Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Stone Point Credit Corporation financial histories
What this measure means
Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.
Exact concept: us-gaap:Liabilities. 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 2022-12-31 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 | 1,593,665,000 | USD | 2026-03-06 | 10-K · 0001193125-26-096955 |
| At date | 2024-12-31 | 1,345,767,000 | USD | 2026-03-06 | 10-K · 0001193125-26-096955 |
| At date | 2023-12-31 | 1,076,476,000 | USD | 2025-03-24 | 10-K · 0001410578-25-000437 |
| At date | 2022-12-31 | 926,938,862 | USD | 2024-03-22 | 10-K · 0001410578-24-000282 |
Related financial histories
- Stone Point Credit Corporation: total assets
- Stone Point Credit Corporation: stockholders equity
- Stone Point Credit Corporation: cash and cash equivalents
- Stone Point Credit Corporation: net income or loss
- Stone Point Credit Corporation: operating cash flow
- Stone Point Credit Corporation: financing cash flow
- Stone Point Credit Corporation: retained earnings or deficit
- Stone Point Credit Corporation: basic weighted-average shares
- Stone Point Credit Corporation: diluted weighted-average shares
- Stone Point Credit Corporation: basic earnings per share
- Stone Point Credit Corporation: diluted earnings per share
Inspect the source
- Entity
- Stone Point Credit Corporation / CIK 0001825384
- Captured
- 2026-09-21T17:20:28.328Z
- SEC response SHA-256
eb8d5f3a545d7dbf3be19de10ba7de25131e59b9511a199865da2d56147e811b
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/0001825384.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"])))