GENVOR INCORPORATED: total liabilities
Total liabilities for GENVOR INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GENVOR INCORPORATED 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 2021-12-31 to 2025-09-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-09-30 | 1,358,204 | USD | 2025-12-10 | 10-K · 0001903596-25-000575 |
| At date | 2024-09-30 | 1,749,710 | USD | 2025-12-10 | 10-K · 0001903596-25-000575 |
| At date | 2023-09-30 | 1,787,059 | USD | 2025-09-09 | 10-K/A · 0001903596-25-000460 |
| At date | 2022-09-30 | 1,710,395 | USD | 2025-09-09 | 10-K/A · 0001903596-25-000460 |
| At date | 2021-12-31 | 2,793,975 | USD | 2024-01-16 | 10-K/A · 0001493152-24-002461 |
Related financial histories
- GENVOR INCORPORATED: total assets
- GENVOR INCORPORATED: stockholders equity
- GENVOR INCORPORATED: cash and cash equivalents
- GENVOR INCORPORATED: net income or loss
- GENVOR INCORPORATED: operating cash flow
- GENVOR INCORPORATED: revenue
- GENVOR INCORPORATED: financing cash flow
- GENVOR INCORPORATED: retained earnings or deficit
- GENVOR INCORPORATED: basic weighted-average shares
- GENVOR INCORPORATED: diluted weighted-average shares
- GENVOR INCORPORATED: basic earnings per share
- GENVOR INCORPORATED: diluted earnings per share
- GENVOR INCORPORATED: net property, plant and equipment
- GENVOR INCORPORATED: share-based compensation expense
- GENVOR INCORPORATED: operating income or loss
- GENVOR INCORPORATED: current assets
- GENVOR INCORPORATED: interest expense
- GENVOR INCORPORATED: current liabilities
- GENVOR INCORPORATED: current accounts payable
- GENVOR INCORPORATED: operating expenses
- GENVOR INCORPORATED: selling, general and administrative expense
- GENVOR INCORPORATED: research and development expense
Inspect the source
- Entity
- GENVOR INCORPORATED / CIK 0001792941
- Captured
- 2026-09-21T17:27:40.419Z
- SEC response SHA-256
3dda2e031208b06de0ad4f526a7b0b69c20a62c66e0a58841d63f8c48f29fe20
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/0001792941.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"])))