APPLIED OPTOELECTRONICS, 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

APPLIED OPTOELECTRONICS, INC. / CIK 0001158114

Captured

2026-09-20T07:42:45.590Z

SEC response SHA-256

dee423e884585bda67e60239d09ac6651fb55a9fb91ec091d98c8dd54ce23986

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/0001158114.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"])))