VYSTAR CORPORATION: 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• VYSTAR CORPORATION: total assets
• VYSTAR CORPORATION: total liabilities
• VYSTAR CORPORATION: stockholders equity
• VYSTAR CORPORATION: cash and cash equivalents
• VYSTAR CORPORATION: net income or loss
• VYSTAR CORPORATION: operating cash flow
• VYSTAR CORPORATION: revenue
• VYSTAR CORPORATION: contract revenue excluding tax
• VYSTAR CORPORATION: financing cash flow
• VYSTAR CORPORATION: investing cash flow
• VYSTAR CORPORATION: retained earnings or deficit
• VYSTAR CORPORATION: basic weighted-average shares
• VYSTAR CORPORATION: diluted weighted-average shares
• VYSTAR CORPORATION: net property, plant and equipment
• VYSTAR CORPORATION: share-based compensation expense
• VYSTAR CORPORATION: operating income or loss
• VYSTAR CORPORATION: current assets
• VYSTAR CORPORATION: interest expense
• VYSTAR CORPORATION: current liabilities
• VYSTAR CORPORATION: current accounts payable
• VYSTAR CORPORATION: goodwill carrying amount
• VYSTAR CORPORATION: net finite-lived intangible assets
• VYSTAR CORPORATION: net current accounts receivable
• VYSTAR CORPORATION: net inventory
• VYSTAR CORPORATION: gross profit
• VYSTAR CORPORATION: cost of revenue
• VYSTAR CORPORATION: research and development expense

Inspect the source

Entity

VYSTAR CORPORATION / CIK 0001308027

Captured

2026-09-20T07:51:04.566Z

SEC response SHA-256

34d3834915887626aea090d18effb7cb5bec2df3269dbb89f4972d88485ef992

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/0001308027.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"])))