AEHR TEST SYSTEMS: financing cash flow

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2009-06-01 to 2026-05-29. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

AEHR TEST SYSTEMS / CIK 0001040470

Captured

2026-09-20T05:15:45.975Z

SEC response SHA-256

d1ac26cb77318717f762ac36f6f4a5d2a2b31aa0ccdd121b2ab6b2b828e5589a

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/0001040470.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"])))