AWAYSIS CAPITAL, INC.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• AWAYSIS CAPITAL, INC.: total assets
• AWAYSIS CAPITAL, INC.: total liabilities
• AWAYSIS CAPITAL, INC.: stockholders equity
• AWAYSIS CAPITAL, INC.: cash and cash equivalents
• AWAYSIS CAPITAL, INC.: net income or loss
• AWAYSIS CAPITAL, INC.: operating cash flow
• AWAYSIS CAPITAL, INC.: capital expenditure payments
• AWAYSIS CAPITAL, INC.: contract revenue excluding tax
• AWAYSIS CAPITAL, INC.: financing cash flow
• AWAYSIS CAPITAL, INC.: investing cash flow
• AWAYSIS CAPITAL, INC.: retained earnings or deficit
• AWAYSIS CAPITAL, INC.: basic weighted-average shares
• AWAYSIS CAPITAL, INC.: diluted weighted-average shares
• AWAYSIS CAPITAL, INC.: basic earnings per share
• AWAYSIS CAPITAL, INC.: diluted earnings per share
• AWAYSIS CAPITAL, INC.: net property, plant and equipment
• AWAYSIS CAPITAL, INC.: share-based compensation expense
• AWAYSIS CAPITAL, INC.: operating income or loss
• AWAYSIS CAPITAL, INC.: current assets
• AWAYSIS CAPITAL, INC.: current liabilities
• AWAYSIS CAPITAL, INC.: current accounts payable
• AWAYSIS CAPITAL, INC.: net inventory
• AWAYSIS CAPITAL, INC.: gross profit

Inspect the source

Entity

AWAYSIS CAPITAL, INC. / CIK 0001021917

Captured

2026-09-20T05:13:33.371Z

SEC response SHA-256

81604cb2a5ce3fcaaa9b63cabcbf967208d5ea2f0eb0382a68d511a53a7e81b2

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/0001021917.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"])))