Global-Smart.Tech Inc.: total liabilities
Total liabilities for Global-Smart.Tech Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Global-Smart.Tech Inc. 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 2024-05-31 to 2026-05-31. The SEC response was captured on 2026-09-21.
Reading these values
This selected numerical history matches Current liabilities 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 | 2026-05-31 | 459,975 | USD | 2026-08-13 | 10-K · 0001940243-26-000019 |
| At date | 2025-05-31 | 459,665 | USD | 2026-08-13 | 10-K · 0001940243-26-000019 |
| At date | 2024-05-31 | 405,091 | USD | 2025-08-29 | 10-K · 0001940243-25-000023 |
Related financial histories
- Global-Smart.Tech Inc.: total assets
- Global-Smart.Tech Inc.: stockholders equity
- Global-Smart.Tech Inc.: net income or loss
- Global-Smart.Tech Inc.: operating cash flow
- Global-Smart.Tech Inc.: financing cash flow
- Global-Smart.Tech Inc.: retained earnings or deficit
- Global-Smart.Tech Inc.: basic weighted-average shares
- Global-Smart.Tech Inc.: net property, plant and equipment
- Global-Smart.Tech Inc.: operating income or loss
- Global-Smart.Tech Inc.: current liabilities
- Global-Smart.Tech Inc.: operating expenses
Inspect the source
- Entity
- Global-Smart.Tech Inc. / CIK 0001940243
- Captured
- 2026-09-21T17:35:41.916Z
- SEC response SHA-256
c85e706ed97271fa04773eda9d172c2c7c234f5586444952fa9c17b8cbc0a16a
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/0001940243.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"])))