PROSPERITY BANCSHARES, INC.: stockholders equity

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

PROSPERITY BANCSHARES, INC. / CIK 0001068851

Captured

2026-09-20T05:19:10.584Z

SEC response SHA-256

0efbbb9dc74bb915950c8691e615d13669158390310520041f30ef23ac6eebc5

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/0001068851.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"])))