Viskase Holdings, Inc.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Viskase Holdings, Inc.: total assets
• Viskase Holdings, Inc.: total liabilities
• Viskase Holdings, Inc.: stockholders equity
• Viskase Holdings, Inc.: cash and cash equivalents
• Viskase Holdings, Inc.: net income or loss
• Viskase Holdings, Inc.: operating cash flow
• Viskase Holdings, Inc.: capital expenditure payments
• Viskase Holdings, Inc.: revenue
• Viskase Holdings, Inc.: financing cash flow
• Viskase Holdings, Inc.: investing cash flow
• Viskase Holdings, Inc.: retained earnings or deficit
• Viskase Holdings, Inc.: basic weighted-average shares
• Viskase Holdings, Inc.: diluted weighted-average shares
• Viskase Holdings, Inc.: basic earnings per share
• Viskase Holdings, Inc.: diluted earnings per share
• Viskase Holdings, Inc.: income tax expense or benefit
• Viskase Holdings, Inc.: net property, plant and equipment
• Viskase Holdings, Inc.: share-based compensation expense
• Viskase Holdings, Inc.: operating income or loss
• Viskase Holdings, Inc.: current assets
• Viskase Holdings, Inc.: interest expense
• Viskase Holdings, Inc.: current liabilities
• Viskase Holdings, Inc.: current accounts payable
• Viskase Holdings, Inc.: common-stock repurchase payments
• Viskase Holdings, Inc.: research and development expense

Inspect the source

Entity

Viskase Holdings, Inc. / CIK 0000727510

Captured

2026-09-19T11:14:16.300Z

SEC response SHA-256

6e26d7ee820898aa15f33cc44076f7cc7eca2da83bcc9dd9620e6574ce7db69b

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/0000727510.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"])))