MADE IN USA INC.: total assets
Total assets for MADE IN USA INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All MADE IN USA 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 2023-02-28 to 2026-02-28. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-02-28 | 93,805 | USD | 2026-06-22 | 10-K · 0001683168-26-005043 |
| At date | 2025-02-28 | 116,464 | USD | 2026-06-22 | 10-K · 0001683168-26-005043 |
| At date | 2024-02-29 | 108,056 | USD | 2025-07-10 | 10-K/A · 0001977837-25-000032 |
| At date | 2023-02-28 | 49,137 | USD | 2025-03-28 | 10-K/A · 0001977837-25-000018 |
Related financial histories
- MADE IN USA INC.: stockholders equity
- MADE IN USA INC.: cash and cash equivalents
- MADE IN USA INC.: net income or loss
- MADE IN USA INC.: operating cash flow
- MADE IN USA INC.: revenue
- MADE IN USA INC.: financing cash flow
- MADE IN USA INC.: investing cash flow
- MADE IN USA INC.: retained earnings or deficit
- MADE IN USA INC.: diluted weighted-average shares
- MADE IN USA INC.: diluted earnings per share
- MADE IN USA INC.: current assets
- MADE IN USA INC.: current liabilities
- MADE IN USA INC.: current accounts payable
- MADE IN USA INC.: net finite-lived intangible assets
- MADE IN USA INC.: operating expenses
- MADE IN USA INC.: gross profit
Inspect the source
- Entity
- MADE IN USA INC. / CIK 0001977837
- Captured
- 2026-09-21T17:37:17.134Z
- SEC response SHA-256
8fe597ccc8aa0bcf2fe3345b11c245866aa4b304e3245c2beedca797d7f6266d
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/0001977837.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"])))