SUPERCOM LTD.: 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

• SUPERCOM LTD.: total assets
• SUPERCOM LTD.: total liabilities
• SUPERCOM LTD.: stockholders equity
• SUPERCOM LTD.: cash and cash equivalents
• SUPERCOM LTD.: net income or loss
• SUPERCOM LTD.: operating cash flow
• SUPERCOM LTD.: capital expenditure payments
• SUPERCOM LTD.: revenue
• SUPERCOM LTD.: financing cash flow
• SUPERCOM LTD.: investing cash flow
• SUPERCOM LTD.: retained earnings or deficit
• SUPERCOM LTD.: basic weighted-average shares
• SUPERCOM LTD.: diluted weighted-average shares
• SUPERCOM LTD.: basic earnings per share
• SUPERCOM LTD.: diluted earnings per share
• SUPERCOM LTD.: income tax expense or benefit
• SUPERCOM LTD.: net property, plant and equipment
• SUPERCOM LTD.: share-based compensation expense
• SUPERCOM LTD.: operating income or loss
• SUPERCOM LTD.: current assets
• SUPERCOM LTD.: current liabilities
• SUPERCOM LTD.: goodwill carrying amount
• SUPERCOM LTD.: net finite-lived intangible assets
• SUPERCOM LTD.: net current accounts receivable
• SUPERCOM LTD.: common-stock repurchase payments
• SUPERCOM LTD.: net inventory
• SUPERCOM LTD.: gross profit
• SUPERCOM LTD.: research and development expense

Inspect the source

Entity

SUPERCOM LTD. / CIK 0001291855

Captured

2026-09-19T11:17:22.704Z

SEC response SHA-256

c4a7c225ffdcac0005c3fb844a604d164debfb078e216db1fb25b2c0eb76d2fa

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/0001291855.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"])))