Civeo Corp: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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

• Civeo Corp: total assets
• Civeo Corp: total liabilities
• Civeo Corp: stockholders equity
• Civeo Corp: cash and cash equivalents
• Civeo Corp: net income or loss
• Civeo Corp: operating cash flow
• Civeo Corp: capital expenditure payments
• Civeo Corp: contract revenue excluding tax
• Civeo Corp: financing cash flow
• Civeo Corp: investing cash flow
• Civeo Corp: retained earnings or deficit
• Civeo Corp: basic weighted-average shares
• Civeo Corp: diluted weighted-average shares
• Civeo Corp: basic earnings per share
• Civeo Corp: income tax expense or benefit
• Civeo Corp: net property, plant and equipment
• Civeo Corp: operating income or loss
• Civeo Corp: current assets
• Civeo Corp: interest expense
• Civeo Corp: current liabilities
• Civeo Corp: current accounts payable
• Civeo Corp: goodwill carrying amount
• Civeo Corp: net finite-lived intangible assets
• Civeo Corp: net current accounts receivable
• Civeo Corp: common-stock repurchase payments
• Civeo Corp: operating expenses
• Civeo Corp: net inventory
• Civeo Corp: gross profit
• Civeo Corp: selling, general and administrative expense

Inspect the source

Entity

Civeo Corp / CIK 0001590584

Captured

2026-09-20T09:23:54.399Z

SEC response SHA-256

8c4ba72abedc822e3b41cd010774db73dba972d6a43b9ea924c9f2cc3acf3877

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/0001590584.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"])))