GOLD ROCK HOLDINGS, INC.: total assets
Total assets for GOLD ROCK HOLDINGS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GOLD ROCK HOLDINGS, INC. financial histories
What this measure means
Resources recognized on the balance sheet. Book assets are not the market value of the business.
Exact concept: us-gaap:Assets. 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 2020-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.
Reading these values
This selected numerical history matches Current assets for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 152,121 | USD | 2026-03-27 | 10-K · 0001091818-26-000026 |
| At date | 2024-12-31 | 253,614 | USD | 2026-03-27 | 10-K · 0001091818-26-000026 |
| At date | 2023-12-31 | 108 | USD | 2025-03-25 | 10-K · 0001091818-25-000017 |
| At date | 2022-12-31 | 1,284 | USD | 2024-03-22 | 10-K · 0001091818-24-000027 |
| At date | 2021-12-31 | 1,700 | USD | 2023-03-15 | 10-K/A · 0001091818-23-000035 |
| At date | 2020-12-31 | 1,800 | USD | 2022-02-22 | 10-K · 0001091818-22-000025 |
Related financial histories
- GOLD ROCK HOLDINGS, INC.: total liabilities
- GOLD ROCK HOLDINGS, INC.: stockholders equity
- GOLD ROCK HOLDINGS, INC.: cash and cash equivalents
- GOLD ROCK HOLDINGS, INC.: net income or loss
- GOLD ROCK HOLDINGS, INC.: operating cash flow
- GOLD ROCK HOLDINGS, INC.: financing cash flow
- GOLD ROCK HOLDINGS, INC.: retained earnings or deficit
- GOLD ROCK HOLDINGS, INC.: basic weighted-average shares
- GOLD ROCK HOLDINGS, INC.: diluted weighted-average shares
- GOLD ROCK HOLDINGS, INC.: current assets
- GOLD ROCK HOLDINGS, INC.: current liabilities
- GOLD ROCK HOLDINGS, INC.: operating expenses
Inspect the source
- Entity
- GOLD ROCK HOLDINGS, INC. / CIK 0000894501
- Captured
- 2026-09-20T05:04:13.483Z
- SEC response SHA-256
60c6ccf3e00b325ac6b5d15b5df627c224be0ef7464cc65911e9c3b586fe81c7
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/0000894501.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"])))