Lightwave Logic, Inc.: current accounts payable

What this measure means

Current amounts owed to suppliers for goods and services received. This is one component of current liabilities, not all accrued obligations.

Exact concept: us-gaap:AccountsPayableCurrent. 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

• Lightwave Logic, Inc.: total assets
• Lightwave Logic, Inc.: total liabilities
• Lightwave Logic, Inc.: stockholders equity
• Lightwave Logic, Inc.: cash and cash equivalents
• Lightwave Logic, Inc.: net income or loss
• Lightwave Logic, Inc.: operating cash flow
• Lightwave Logic, Inc.: capital expenditure payments
• Lightwave Logic, Inc.: revenue
• Lightwave Logic, Inc.: financing cash flow
• Lightwave Logic, Inc.: investing cash flow
• Lightwave Logic, Inc.: retained earnings or deficit
• Lightwave Logic, Inc.: basic weighted-average shares
• Lightwave Logic, Inc.: diluted weighted-average shares
• Lightwave Logic, Inc.: basic earnings per share
• Lightwave Logic, Inc.: diluted earnings per share
• Lightwave Logic, Inc.: net property, plant and equipment
• Lightwave Logic, Inc.: share-based compensation expense
• Lightwave Logic, Inc.: operating income or loss
• Lightwave Logic, Inc.: current assets
• Lightwave Logic, Inc.: interest expense
• Lightwave Logic, Inc.: current liabilities
• Lightwave Logic, Inc.: net finite-lived intangible assets
• Lightwave Logic, Inc.: net current accounts receivable
• Lightwave Logic, Inc.: operating expenses
• Lightwave Logic, Inc.: research and development expense

Inspect the source

Entity

Lightwave Logic, Inc. / CIK 0001325964

Captured

2026-09-20T07:52:37.853Z

SEC response SHA-256

acd9586e1ccf5b377cad0916a27caac0e1a25e2a799a28dcf54d822af349a142

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/0001325964.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"])))