TOYO Co., Ltd: total assets
Total assets for TOYO Co., Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All TOYO Co., Ltd 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 | 441,433,821 | USD | 2026-04-01 | 20-F · 0001213900-26-037921 |
| At date | 2024-12-31 | 239,799,700 | USD | 2026-04-01 | 20-F · 0001213900-26-037921 |
| At date | 2023-12-31 | 238,283,010 | USD | 2025-05-12 | 20-F · 0001213900-25-042062 |
Related financial histories
- TOYO Co., Ltd: total liabilities
- TOYO Co., Ltd: stockholders equity
- TOYO Co., Ltd: net income or loss
- TOYO Co., Ltd: operating cash flow
- TOYO Co., Ltd: capital expenditure payments
- TOYO Co., Ltd: revenue
- TOYO Co., Ltd: financing cash flow
- TOYO Co., Ltd: investing cash flow
- TOYO Co., Ltd: retained earnings or deficit
- TOYO Co., Ltd: basic weighted-average shares
- TOYO Co., Ltd: diluted weighted-average shares
- TOYO Co., Ltd: basic earnings per share
- TOYO Co., Ltd: diluted earnings per share
- TOYO Co., Ltd: net property, plant and equipment
- TOYO Co., Ltd: operating income or loss
- TOYO Co., Ltd: current assets
- TOYO Co., Ltd: current liabilities
- TOYO Co., Ltd: current accounts payable
- TOYO Co., Ltd: operating expenses
- TOYO Co., Ltd: net inventory
- TOYO Co., Ltd: gross profit
- TOYO Co., Ltd: cost of revenue
Inspect the source
- Entity
- TOYO Co., Ltd / CIK 0001985273
- Captured
- 2026-09-21T17:39:31.094Z
- SEC response SHA-256
c35017b14b14a6c1841d6e6dcac9080714db48aa7f73b2d5db0c6337f14d403c
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/0001985273.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"])))