GLOBAL MOFY AI LIMITED: net property, plant and equipment
Net property, plant and equipment for GLOBAL MOFY AI LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GLOBAL MOFY AI LIMITED financial histories
What this measure means
Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.
Exact concept: us-gaap:PropertyPlantAndEquipmentNet. 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 2022-09-30 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 | 14,986 | USD | 2026-01-09 | 20-F · 0001213900-26-002984 |
| At date | 2024-09-30 | 13,420 | USD | 2026-01-09 | 20-F · 0001213900-26-002984 |
| At date | 2023-09-30 | 34,431 | USD | 2025-01-02 | 20-F · 0001213900-25-000430 |
| At date | 2022-09-30 | 37,806 | USD | 2024-01-31 | 20-F · 0001213900-24-008515 |
Related financial histories
- GLOBAL MOFY AI LIMITED: total assets
- GLOBAL MOFY AI LIMITED: total liabilities
- GLOBAL MOFY AI LIMITED: stockholders equity
- GLOBAL MOFY AI LIMITED: net income or loss
- GLOBAL MOFY AI LIMITED: operating cash flow
- GLOBAL MOFY AI LIMITED: capital expenditure payments
- GLOBAL MOFY AI LIMITED: revenue
- GLOBAL MOFY AI LIMITED: financing cash flow
- GLOBAL MOFY AI LIMITED: investing cash flow
- GLOBAL MOFY AI LIMITED: retained earnings or deficit
- GLOBAL MOFY AI LIMITED: basic weighted-average shares
- GLOBAL MOFY AI LIMITED: diluted weighted-average shares
- GLOBAL MOFY AI LIMITED: basic earnings per share
- GLOBAL MOFY AI LIMITED: diluted earnings per share
- GLOBAL MOFY AI LIMITED: income tax expense or benefit
- GLOBAL MOFY AI LIMITED: operating income or loss
- GLOBAL MOFY AI LIMITED: current assets
- GLOBAL MOFY AI LIMITED: interest expense
- GLOBAL MOFY AI LIMITED: current liabilities
- GLOBAL MOFY AI LIMITED: current accounts payable
- GLOBAL MOFY AI LIMITED: net finite-lived intangible assets
- GLOBAL MOFY AI LIMITED: net current accounts receivable
- GLOBAL MOFY AI LIMITED: operating expenses
- GLOBAL MOFY AI LIMITED: gross profit
- GLOBAL MOFY AI LIMITED: cost of revenue
- GLOBAL MOFY AI LIMITED: research and development expense
Inspect the source
- Entity
- GLOBAL MOFY AI LIMITED / CIK 0001913749
- Captured
- 2026-09-21T17:40:58.773Z
- SEC response SHA-256
bb73132f252d2ab63eab869924c4b8dca27807a806c539e22a18f93f4be8160f
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/0001913749.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"])))