RAYMOND JAMES FINANCIAL, INC.: 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 2007-10-01 to 2025-09-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

RAYMOND JAMES FINANCIAL, INC. / CIK 0000720005

Captured

2026-09-19T14:59:38.957Z

SEC response SHA-256

b6fe2bb269a394dc0f7a25a696eeba257859b5894e62cd1d2ff365a0415713f7

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/0000720005.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"])))