OPPENHEIMER HOLDINGS INC.: diluted weighted-average shares

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• OPPENHEIMER HOLDINGS INC.: total assets
• OPPENHEIMER HOLDINGS INC.: total liabilities
• OPPENHEIMER HOLDINGS INC.: stockholders equity
• OPPENHEIMER HOLDINGS INC.: cash and cash equivalents
• OPPENHEIMER HOLDINGS INC.: net income or loss
• OPPENHEIMER HOLDINGS INC.: operating cash flow
• OPPENHEIMER HOLDINGS INC.: capital expenditure payments
• OPPENHEIMER HOLDINGS INC.: revenue
• OPPENHEIMER HOLDINGS INC.: contract revenue excluding tax
• OPPENHEIMER HOLDINGS INC.: financing cash flow
• OPPENHEIMER HOLDINGS INC.: investing cash flow
• OPPENHEIMER HOLDINGS INC.: retained earnings or deficit
• OPPENHEIMER HOLDINGS INC.: basic weighted-average shares
• OPPENHEIMER HOLDINGS INC.: basic earnings per share
• OPPENHEIMER HOLDINGS INC.: diluted earnings per share
• OPPENHEIMER HOLDINGS INC.: income tax expense or benefit
• OPPENHEIMER HOLDINGS INC.: net property, plant and equipment
• OPPENHEIMER HOLDINGS INC.: share-based compensation expense
• OPPENHEIMER HOLDINGS INC.: operating income or loss
• OPPENHEIMER HOLDINGS INC.: interest expense
• OPPENHEIMER HOLDINGS INC.: goodwill carrying amount
• OPPENHEIMER HOLDINGS INC.: net finite-lived intangible assets
• OPPENHEIMER HOLDINGS INC.: common-stock repurchase payments
• OPPENHEIMER HOLDINGS INC.: operating expenses

Inspect the source

Entity

OPPENHEIMER HOLDINGS INC. / CIK 0000791963

Captured

2026-09-19T15:04:21.055Z

SEC response SHA-256

01adebe7e1ef00a44df6048db58d94da4dfd1365a4cd68b7bd1dadead38034e8

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/0000791963.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"])))