Pinnacle Food Group Limited: total assets
Total assets for Pinnacle Food Group Limited. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Pinnacle Food Group Limited 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 2023-12-31 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 | 10,286,466 | USD | 2026-04-30 | 20-F · 0001213900-26-050423 |
| At date | 2024-12-31 | 5,604,664 | USD | 2026-04-30 | 20-F · 0001213900-26-050423 |
| At date | 2023-12-31 | 3,816,606 | USD | 2025-07-15 | 20-F · 0001213900-25-064318 |
Related financial histories
- Pinnacle Food Group Limited: total liabilities
- Pinnacle Food Group Limited: stockholders equity
- Pinnacle Food Group Limited: cash and cash equivalents
- Pinnacle Food Group Limited: net income or loss
- Pinnacle Food Group Limited: operating cash flow
- Pinnacle Food Group Limited: capital expenditure payments
- Pinnacle Food Group Limited: revenue
- Pinnacle Food Group Limited: financing cash flow
- Pinnacle Food Group Limited: investing cash flow
- Pinnacle Food Group Limited: retained earnings or deficit
- Pinnacle Food Group Limited: income tax expense or benefit
- Pinnacle Food Group Limited: net property, plant and equipment
- Pinnacle Food Group Limited: operating income or loss
- Pinnacle Food Group Limited: current assets
- Pinnacle Food Group Limited: current liabilities
- Pinnacle Food Group Limited: current accounts payable
- Pinnacle Food Group Limited: net finite-lived intangible assets
- Pinnacle Food Group Limited: net current accounts receivable
- Pinnacle Food Group Limited: net inventory
- Pinnacle Food Group Limited: gross profit
- Pinnacle Food Group Limited: cost of revenue
- Pinnacle Food Group Limited: selling, general and administrative expense
- Pinnacle Food Group Limited: research and development expense
Inspect the source
- Entity
- Pinnacle Food Group Limited / CIK 0002032755
- Captured
- 2026-09-21T17:41:35.465Z
- SEC response SHA-256
00015b96fea04c3884ebed6ab5bc3d07b37339485f44b15cb39ab6ad7752e198
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/0002032755.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"])))