ACORN ENERGY, INC.: interest expense

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2021-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• ACORN ENERGY, INC.: total assets
• ACORN ENERGY, INC.: total liabilities
• ACORN ENERGY, INC.: stockholders equity
• ACORN ENERGY, INC.: cash and cash equivalents
• ACORN ENERGY, INC.: net income or loss
• ACORN ENERGY, INC.: operating cash flow
• ACORN ENERGY, INC.: capital expenditure payments
• ACORN ENERGY, INC.: revenue
• ACORN ENERGY, INC.: contract revenue excluding tax
• ACORN ENERGY, INC.: financing cash flow
• ACORN ENERGY, INC.: investing cash flow
• ACORN ENERGY, INC.: retained earnings or deficit
• ACORN ENERGY, INC.: basic weighted-average shares
• ACORN ENERGY, INC.: diluted weighted-average shares
• ACORN ENERGY, INC.: basic earnings per share
• ACORN ENERGY, INC.: diluted earnings per share
• ACORN ENERGY, INC.: income tax expense or benefit
• ACORN ENERGY, INC.: net property, plant and equipment
• ACORN ENERGY, INC.: share-based compensation expense
• ACORN ENERGY, INC.: operating income or loss
• ACORN ENERGY, INC.: current assets
• ACORN ENERGY, INC.: current liabilities
• ACORN ENERGY, INC.: current accounts payable
• ACORN ENERGY, INC.: goodwill carrying amount
• ACORN ENERGY, INC.: net current accounts receivable
• ACORN ENERGY, INC.: common-stock repurchase payments
• ACORN ENERGY, INC.: operating expenses
• ACORN ENERGY, INC.: net inventory
• ACORN ENERGY, INC.: gross profit
• ACORN ENERGY, INC.: selling, general and administrative expense
• ACORN ENERGY, INC.: research and development expense

Inspect the source

Entity

ACORN ENERGY, INC. / CIK 0000880984

Captured

2026-09-20T05:01:51.281Z

SEC response SHA-256

7ab5baf5203ab687e1b04fa225645bcb5a7d6b4044ae7761fce1871cb7fd6283

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/0000880984.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"])))