PHARMACYTE BIOTECH, INC.: stockholders equity

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. 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 2010-04-30 to 2026-04-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• PHARMACYTE BIOTECH, INC.: total assets
• PHARMACYTE BIOTECH, INC.: total liabilities
• PHARMACYTE BIOTECH, INC.: cash and cash equivalents
• PHARMACYTE BIOTECH, INC.: net income or loss
• PHARMACYTE BIOTECH, INC.: operating cash flow
• PHARMACYTE BIOTECH, INC.: revenue
• PHARMACYTE BIOTECH, INC.: financing cash flow
• PHARMACYTE BIOTECH, INC.: investing cash flow
• PHARMACYTE BIOTECH, INC.: retained earnings or deficit
• PHARMACYTE BIOTECH, INC.: basic weighted-average shares
• PHARMACYTE BIOTECH, INC.: diluted weighted-average shares
• PHARMACYTE BIOTECH, INC.: basic earnings per share
• PHARMACYTE BIOTECH, INC.: diluted earnings per share
• PHARMACYTE BIOTECH, INC.: share-based compensation expense
• PHARMACYTE BIOTECH, INC.: operating income or loss
• PHARMACYTE BIOTECH, INC.: current assets
• PHARMACYTE BIOTECH, INC.: interest expense
• PHARMACYTE BIOTECH, INC.: current liabilities
• PHARMACYTE BIOTECH, INC.: current accounts payable
• PHARMACYTE BIOTECH, INC.: common-stock repurchase payments
• PHARMACYTE BIOTECH, INC.: operating expenses
• PHARMACYTE BIOTECH, INC.: net inventory
• PHARMACYTE BIOTECH, INC.: gross profit
• PHARMACYTE BIOTECH, INC.: cost of revenue
• PHARMACYTE BIOTECH, INC.: research and development expense

Inspect the source

Entity

PHARMACYTE BIOTECH, INC. / CIK 0001157075

Captured

2026-09-20T07:42:36.237Z

SEC response SHA-256

8f9ad1662a11f3cb167c6975b558c6cce5e582ddebd7699a946a7cffe2a40413

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/0001157075.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"])))