Mentor Capital, Inc.: diluted weighted-average shares

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2013-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Mentor Capital, Inc.: total assets
• Mentor Capital, Inc.: total liabilities
• Mentor Capital, Inc.: stockholders equity
• Mentor Capital, Inc.: cash and cash equivalents
• Mentor Capital, Inc.: net income or loss
• Mentor Capital, Inc.: operating cash flow
• Mentor Capital, Inc.: capital expenditure payments
• Mentor Capital, Inc.: revenue
• Mentor Capital, Inc.: financing cash flow
• Mentor Capital, Inc.: investing cash flow
• Mentor Capital, Inc.: retained earnings or deficit
• Mentor Capital, Inc.: basic weighted-average shares
• Mentor Capital, Inc.: basic earnings per share
• Mentor Capital, Inc.: diluted earnings per share
• Mentor Capital, Inc.: income tax expense or benefit
• Mentor Capital, Inc.: net property, plant and equipment
• Mentor Capital, Inc.: operating income or loss
• Mentor Capital, Inc.: current assets
• Mentor Capital, Inc.: interest expense
• Mentor Capital, Inc.: current liabilities
• Mentor Capital, Inc.: current accounts payable
• Mentor Capital, Inc.: goodwill carrying amount
• Mentor Capital, Inc.: net current accounts receivable
• Mentor Capital, Inc.: gross profit
• Mentor Capital, Inc.: cost of revenue
• Mentor Capital, Inc.: selling, general and administrative expense

Inspect the source

Entity

Mentor Capital, Inc. / CIK 0001599117

Captured

2026-09-20T09:25:06.538Z

SEC response SHA-256

c60554750033abcf044174658297884dd01c1a3b8e505fbd666397e519db2cdc

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/0001599117.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"])))