Mammoth Energy Services, Inc.: basic earnings per share

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2015-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Mammoth Energy Services, Inc.: total assets
• Mammoth Energy Services, Inc.: total liabilities
• Mammoth Energy Services, Inc.: stockholders equity
• Mammoth Energy Services, Inc.: cash and cash equivalents
• Mammoth Energy Services, Inc.: net income or loss
• Mammoth Energy Services, Inc.: operating cash flow
• Mammoth Energy Services, Inc.: capital expenditure payments
• Mammoth Energy Services, Inc.: revenue
• Mammoth Energy Services, Inc.: contract revenue excluding tax
• Mammoth Energy Services, Inc.: financing cash flow
• Mammoth Energy Services, Inc.: investing cash flow
• Mammoth Energy Services, Inc.: retained earnings or deficit
• Mammoth Energy Services, Inc.: basic weighted-average shares
• Mammoth Energy Services, Inc.: diluted weighted-average shares
• Mammoth Energy Services, Inc.: diluted earnings per share
• Mammoth Energy Services, Inc.: income tax expense or benefit
• Mammoth Energy Services, Inc.: net property, plant and equipment
• Mammoth Energy Services, Inc.: share-based compensation expense
• Mammoth Energy Services, Inc.: operating income or loss
• Mammoth Energy Services, Inc.: current assets
• Mammoth Energy Services, Inc.: interest expense
• Mammoth Energy Services, Inc.: current liabilities
• Mammoth Energy Services, Inc.: current accounts payable
• Mammoth Energy Services, Inc.: goodwill carrying amount
• Mammoth Energy Services, Inc.: net finite-lived intangible assets
• Mammoth Energy Services, Inc.: net current accounts receivable
• Mammoth Energy Services, Inc.: net inventory
• Mammoth Energy Services, Inc.: cost of revenue
• Mammoth Energy Services, Inc.: selling, general and administrative expense

Inspect the source

Entity

Mammoth Energy Services, Inc. / CIK 0001679268

Captured

2026-09-21T17:24:45.493Z

SEC response SHA-256

d3dc43034b7a3f7cae964f704e7e91d5b31ad54c7ddeee1351eabb09b0c8cf56

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/0001679268.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"])))