MEXCO ENERGY CORPORATION: 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 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• MEXCO ENERGY CORPORATION: total assets
• MEXCO ENERGY CORPORATION: total liabilities
• MEXCO ENERGY CORPORATION: stockholders equity
• MEXCO ENERGY CORPORATION: cash and cash equivalents
• MEXCO ENERGY CORPORATION: net income or loss
• MEXCO ENERGY CORPORATION: operating cash flow
• MEXCO ENERGY CORPORATION: contract revenue excluding tax
• MEXCO ENERGY CORPORATION: financing cash flow
• MEXCO ENERGY CORPORATION: investing cash flow
• MEXCO ENERGY CORPORATION: retained earnings or deficit
• MEXCO ENERGY CORPORATION: basic weighted-average shares
• MEXCO ENERGY CORPORATION: basic earnings per share
• MEXCO ENERGY CORPORATION: diluted earnings per share
• MEXCO ENERGY CORPORATION: income tax expense or benefit
• MEXCO ENERGY CORPORATION: net property, plant and equipment
• MEXCO ENERGY CORPORATION: share-based compensation expense
• MEXCO ENERGY CORPORATION: operating income or loss
• MEXCO ENERGY CORPORATION: current assets
• MEXCO ENERGY CORPORATION: interest expense
• MEXCO ENERGY CORPORATION: current liabilities
• MEXCO ENERGY CORPORATION: net current accounts receivable
• MEXCO ENERGY CORPORATION: common-stock repurchase payments
• MEXCO ENERGY CORPORATION: operating expenses

Inspect the source

Entity

MEXCO ENERGY CORPORATION / CIK 0000066418

Captured

2026-09-19T14:49:40.585Z

SEC response SHA-256

5e2592edaffa465fec24d2d449261221192c8f71d57150f46629bbe4f31a5ad1

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/0000066418.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"])))