Track Group, 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 2015-10-01 to 2025-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Track Group, Inc.: total assets
• Track Group, Inc.: total liabilities
• Track Group, Inc.: stockholders equity
• Track Group, Inc.: cash and cash equivalents
• Track Group, Inc.: net income or loss
• Track Group, Inc.: operating cash flow
• Track Group, Inc.: revenue
• Track Group, Inc.: financing cash flow
• Track Group, Inc.: investing cash flow
• Track Group, Inc.: retained earnings or deficit
• Track Group, Inc.: basic weighted-average shares
• Track Group, Inc.: diluted weighted-average shares
• Track Group, Inc.: basic earnings per share
• Track Group, Inc.: diluted earnings per share
• Track Group, Inc.: income tax expense or benefit
• Track Group, Inc.: net property, plant and equipment
• Track Group, Inc.: share-based compensation expense
• Track Group, Inc.: operating income or loss
• Track Group, Inc.: current assets
• Track Group, Inc.: interest expense
• Track Group, Inc.: current liabilities
• Track Group, Inc.: current accounts payable
• Track Group, Inc.: goodwill carrying amount
• Track Group, Inc.: net finite-lived intangible assets
• Track Group, Inc.: net inventory
• Track Group, Inc.: gross profit
• Track Group, Inc.: cost of revenue
• Track Group, Inc.: selling, general and administrative expense
• Track Group, Inc.: research and development expense

Inspect the source

Entity

Track Group, Inc. / CIK 0001045942

Captured

2026-09-20T05:16:33.632Z

SEC response SHA-256

915056ce6e8ad1b61cee7bfd1e33324307709f171b591f37a948927c6bfec6fc

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/0001045942.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"])))