AIOS Tech Inc.: research and development expense

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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 2014-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• AIOS Tech Inc.: total assets
• AIOS Tech Inc.: total liabilities
• AIOS Tech Inc.: stockholders equity
• AIOS Tech Inc.: cash and cash equivalents
• AIOS Tech Inc.: net income or loss
• AIOS Tech Inc.: operating cash flow
• AIOS Tech Inc.: capital expenditure payments
• AIOS Tech Inc.: revenue
• AIOS Tech Inc.: contract revenue excluding tax
• AIOS Tech Inc.: financing cash flow
• AIOS Tech Inc.: investing cash flow
• AIOS Tech Inc.: retained earnings or deficit
• AIOS Tech Inc.: basic weighted-average shares
• AIOS Tech Inc.: diluted weighted-average shares
• AIOS Tech Inc.: basic earnings per share
• AIOS Tech Inc.: diluted earnings per share
• AIOS Tech Inc.: income tax expense or benefit
• AIOS Tech Inc.: net property, plant and equipment
• AIOS Tech Inc.: share-based compensation expense
• AIOS Tech Inc.: operating income or loss
• AIOS Tech Inc.: current assets
• AIOS Tech Inc.: interest expense
• AIOS Tech Inc.: current liabilities
• AIOS Tech Inc.: current accounts payable
• AIOS Tech Inc.: goodwill carrying amount
• AIOS Tech Inc.: net finite-lived intangible assets
• AIOS Tech Inc.: net current accounts receivable
• AIOS Tech Inc.: operating expenses
• AIOS Tech Inc.: net inventory
• AIOS Tech Inc.: gross profit
• AIOS Tech Inc.: cost of revenue

Inspect the source

Entity

AIOS Tech Inc. / CIK 0001603993

Captured

2026-09-19T11:19:28.549Z

SEC response SHA-256

7f03acc7198564eebb3122e84674779a77fe2fc59d8183c481f17ef5c897de74

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/0001603993.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"])))