Ring Energy, 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 2012-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Ring Energy, Inc.: total assets
• Ring Energy, Inc.: total liabilities
• Ring Energy, Inc.: stockholders equity
• Ring Energy, Inc.: cash and cash equivalents
• Ring Energy, Inc.: net income or loss
• Ring Energy, Inc.: operating cash flow
• Ring Energy, Inc.: capital expenditure payments
• Ring Energy, Inc.: contract revenue excluding tax
• Ring Energy, Inc.: financing cash flow
• Ring Energy, Inc.: investing cash flow
• Ring Energy, Inc.: retained earnings or deficit
• Ring Energy, Inc.: basic weighted-average shares
• Ring Energy, Inc.: basic earnings per share
• Ring Energy, Inc.: diluted earnings per share
• Ring Energy, Inc.: income tax expense or benefit
• Ring Energy, Inc.: net property, plant and equipment
• Ring Energy, Inc.: share-based compensation expense
• Ring Energy, Inc.: operating income or loss
• Ring Energy, Inc.: current assets
• Ring Energy, Inc.: interest expense
• Ring Energy, Inc.: current liabilities
• Ring Energy, Inc.: current accounts payable
• Ring Energy, Inc.: net current accounts receivable
• Ring Energy, Inc.: net inventory

Inspect the source

Entity

Ring Energy, Inc. / CIK 0001384195

Captured

2026-09-20T07:58:40.870Z

SEC response SHA-256

c2ad7dddd313ed88d796859f1956ff891db07a6bc93012a8b160bb8b99ab20d4

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/0001384195.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"])))