SKYTECH ORION GLOBAL CORP.: net property, plant and equipment

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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• SKYTECH ORION GLOBAL CORP.: total assets
• SKYTECH ORION GLOBAL CORP.: total liabilities
• SKYTECH ORION GLOBAL CORP.: stockholders equity
• SKYTECH ORION GLOBAL CORP.: cash and cash equivalents
• SKYTECH ORION GLOBAL CORP.: net income or loss
• SKYTECH ORION GLOBAL CORP.: operating cash flow
• SKYTECH ORION GLOBAL CORP.: capital expenditure payments
• SKYTECH ORION GLOBAL CORP.: revenue
• SKYTECH ORION GLOBAL CORP.: contract revenue excluding tax
• SKYTECH ORION GLOBAL CORP.: financing cash flow
• SKYTECH ORION GLOBAL CORP.: investing cash flow
• SKYTECH ORION GLOBAL CORP.: retained earnings or deficit
• SKYTECH ORION GLOBAL CORP.: basic weighted-average shares
• SKYTECH ORION GLOBAL CORP.: diluted weighted-average shares
• SKYTECH ORION GLOBAL CORP.: basic earnings per share
• SKYTECH ORION GLOBAL CORP.: diluted earnings per share
• SKYTECH ORION GLOBAL CORP.: share-based compensation expense
• SKYTECH ORION GLOBAL CORP.: operating income or loss
• SKYTECH ORION GLOBAL CORP.: current assets
• SKYTECH ORION GLOBAL CORP.: interest expense
• SKYTECH ORION GLOBAL CORP.: current liabilities
• SKYTECH ORION GLOBAL CORP.: net current accounts receivable
• SKYTECH ORION GLOBAL CORP.: operating expenses
• SKYTECH ORION GLOBAL CORP.: net inventory
• SKYTECH ORION GLOBAL CORP.: gross profit
• SKYTECH ORION GLOBAL CORP.: cost of revenue
• SKYTECH ORION GLOBAL CORP.: selling, general and administrative expense
• SKYTECH ORION GLOBAL CORP.: research and development expense

Inspect the source

Entity

SKYTECH ORION GLOBAL CORP. / CIK 0001498067

Captured

2026-09-20T09:11:06.808Z

SEC response SHA-256

9ccaa29d6b8718df4a8141a1f8de85829f371f5e99975faa3319e63b6dd6e589

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

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001498067.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"])))