PNC Financial Services Group, 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

• PNC Financial Services Group, Inc.: total assets
• PNC Financial Services Group, Inc.: total liabilities
• PNC Financial Services Group, Inc.: stockholders equity
• PNC Financial Services Group, Inc.: operating cash flow
• PNC Financial Services Group, Inc.: revenue
• PNC Financial Services Group, Inc.: contract revenue excluding tax
• PNC Financial Services Group, Inc.: financing cash flow
• PNC Financial Services Group, Inc.: investing cash flow
• PNC Financial Services Group, Inc.: retained earnings or deficit
• PNC Financial Services Group, Inc.: basic weighted-average shares
• PNC Financial Services Group, Inc.: diluted weighted-average shares
• PNC Financial Services Group, Inc.: diluted earnings per share
• PNC Financial Services Group, Inc.: income tax expense or benefit
• PNC Financial Services Group, Inc.: net property, plant and equipment
• PNC Financial Services Group, Inc.: share-based compensation expense
• PNC Financial Services Group, Inc.: interest expense
• PNC Financial Services Group, Inc.: goodwill carrying amount
• PNC Financial Services Group, Inc.: net finite-lived intangible assets
• PNC Financial Services Group, Inc.: common-stock repurchase payments

Inspect the source

Entity

PNC Financial Services Group, Inc. / CIK 0000713676

Captured

2026-09-19T14:58:42.683Z

SEC response SHA-256

205911d91e33a9827fb38f4594458e2aedab34d097c919c41925f4e4ab88ea55

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/0000713676.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"])))