SMART POWERR CORP.: 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 2012-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

SMART POWERR CORP. / CIK 0000721693

Captured

2026-09-19T14:59:51.623Z

SEC response SHA-256

f9e423ad86944b5758b99897157bda4a9378dd96b7ca12bc9d24391c79dc292c

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/0000721693.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"])))