DOMINION ENERGY, 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• DOMINION ENERGY, INC: total assets
• DOMINION ENERGY, INC: total liabilities
• DOMINION ENERGY, INC: stockholders equity
• DOMINION ENERGY, INC: cash and cash equivalents
• DOMINION ENERGY, INC: net income or loss
• DOMINION ENERGY, INC: operating cash flow
• DOMINION ENERGY, INC: capital expenditure payments
• DOMINION ENERGY, INC: revenue
• DOMINION ENERGY, INC: contract revenue excluding tax
• DOMINION ENERGY, INC: financing cash flow
• DOMINION ENERGY, INC: investing cash flow
• DOMINION ENERGY, INC: retained earnings or deficit
• DOMINION ENERGY, INC: basic weighted-average shares
• DOMINION ENERGY, INC: diluted weighted-average shares
• DOMINION ENERGY, INC: diluted earnings per share
• DOMINION ENERGY, INC: income tax expense or benefit
• DOMINION ENERGY, INC: net property, plant and equipment
• DOMINION ENERGY, INC: operating income or loss
• DOMINION ENERGY, INC: current assets
• DOMINION ENERGY, INC: current liabilities
• DOMINION ENERGY, INC: current accounts payable
• DOMINION ENERGY, INC: goodwill carrying amount
• DOMINION ENERGY, INC: net current accounts receivable
• DOMINION ENERGY, INC: common-stock repurchase payments

Inspect the source

Entity

DOMINION ENERGY, INC / CIK 0000715957

Captured

2026-09-19T14:59:00.836Z

SEC response SHA-256

a675a88ae458df679704cef7e50039e00032d0dc9b5e55f1f05ccc9294f09bcc

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/0000715957.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"])))