HighPeak Energy, Inc.: basic weighted-average shares

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2021-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

HighPeak Energy, Inc. / CIK 0001792849

Captured

2026-09-21T17:27:36.739Z

SEC response SHA-256

bf41b2f108395b11fd22f00d2f1c6374c242392c30785500a3b56dd459c8d9e1

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/0001792849.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"])))