CirTran Corporation: operating income or loss

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

CirTran Corporation / CIK 0000813716

Captured

2026-09-19T15:06:36.657Z

SEC response SHA-256

ec208103a5659b9c108816047d7b183adceb6cc7767021827d2eda6a1cf1c6f4

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/0000813716.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"])))