VERDE BIO HOLDINGS, INC.: 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 2014-04-30 to 2023-04-30. The SEC response was captured on 2026-09-19.

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

• VERDE BIO HOLDINGS, INC.: total assets
• VERDE BIO HOLDINGS, INC.: total liabilities
• VERDE BIO HOLDINGS, INC.: stockholders equity
• VERDE BIO HOLDINGS, INC.: cash and cash equivalents
• VERDE BIO HOLDINGS, INC.: net income or loss
• VERDE BIO HOLDINGS, INC.: operating cash flow
• VERDE BIO HOLDINGS, INC.: capital expenditure payments
• VERDE BIO HOLDINGS, INC.: revenue
• VERDE BIO HOLDINGS, INC.: financing cash flow
• VERDE BIO HOLDINGS, INC.: investing cash flow
• VERDE BIO HOLDINGS, INC.: net property, plant and equipment
• VERDE BIO HOLDINGS, INC.: operating income or loss
• VERDE BIO HOLDINGS, INC.: current assets
• VERDE BIO HOLDINGS, INC.: interest expense
• VERDE BIO HOLDINGS, INC.: current liabilities
• VERDE BIO HOLDINGS, INC.: net current accounts receivable
• VERDE BIO HOLDINGS, INC.: operating expenses
• VERDE BIO HOLDINGS, INC.: gross profit
• VERDE BIO HOLDINGS, INC.: cost of revenue

Inspect the source

Entity

VERDE BIO HOLDINGS, INC. / CIK 0001490054

Captured

2026-09-19T11:18:19.126Z

SEC response SHA-256

dd7cd08239c5c2462afbc7dbecad94ca6a89142a02ded38321628f853eea98c8

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/0001490054.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"])))