APPLIED ENERGETICS, INC.: total liabilities

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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

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

Inspect the source

Entity

APPLIED ENERGETICS, INC. / CIK 0000879911

Captured

2026-09-20T05:01:36.550Z

SEC response SHA-256

4a5dd6f5f2e4fd1d3ed2ede1324c56e85950b8b1634630390f7dbfcf6472cc75

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/0000879911.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"])))