Apyx Medical Corp: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Apyx Medical Corp: total assets
• Apyx Medical Corp: total liabilities
• Apyx Medical Corp: stockholders equity
• Apyx Medical Corp: cash and cash equivalents
• Apyx Medical Corp: net income or loss
• Apyx Medical Corp: operating cash flow
• Apyx Medical Corp: capital expenditure payments
• Apyx Medical Corp: contract revenue excluding tax
• Apyx Medical Corp: financing cash flow
• Apyx Medical Corp: investing cash flow
• Apyx Medical Corp: basic weighted-average shares
• Apyx Medical Corp: diluted weighted-average shares
• Apyx Medical Corp: basic earnings per share
• Apyx Medical Corp: diluted earnings per share
• Apyx Medical Corp: income tax expense or benefit
• Apyx Medical Corp: net property, plant and equipment
• Apyx Medical Corp: share-based compensation expense
• Apyx Medical Corp: operating income or loss
• Apyx Medical Corp: current assets
• Apyx Medical Corp: interest expense
• Apyx Medical Corp: current liabilities
• Apyx Medical Corp: current accounts payable
• Apyx Medical Corp: net finite-lived intangible assets
• Apyx Medical Corp: net current accounts receivable
• Apyx Medical Corp: operating expenses
• Apyx Medical Corp: net inventory
• Apyx Medical Corp: gross profit
• Apyx Medical Corp: selling, general and administrative expense
• Apyx Medical Corp: research and development expense

Inspect the source

Entity

Apyx Medical Corp / CIK 0000719135

Captured

2026-09-19T14:59:27.679Z

SEC response SHA-256

1ad7c3d4dfc962b193500ee95296522ecc0d30e02ab691d084b6fdfa682a7b5a

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/0000719135.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"])))