ROCKY BRANDS, 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ROCKY BRANDS, INC.: total assets
• ROCKY BRANDS, INC.: total liabilities
• ROCKY BRANDS, INC.: cash and cash equivalents
• ROCKY BRANDS, INC.: net income or loss
• ROCKY BRANDS, INC.: operating cash flow
• ROCKY BRANDS, INC.: capital expenditure payments
• ROCKY BRANDS, INC.: revenue
• ROCKY BRANDS, INC.: financing cash flow
• ROCKY BRANDS, INC.: investing cash flow
• ROCKY BRANDS, INC.: retained earnings or deficit
• ROCKY BRANDS, INC.: basic weighted-average shares
• ROCKY BRANDS, INC.: diluted weighted-average shares
• ROCKY BRANDS, INC.: basic earnings per share
• ROCKY BRANDS, INC.: diluted earnings per share
• ROCKY BRANDS, INC.: income tax expense or benefit
• ROCKY BRANDS, INC.: net property, plant and equipment
• ROCKY BRANDS, INC.: share-based compensation expense
• ROCKY BRANDS, INC.: operating income or loss
• ROCKY BRANDS, INC.: current assets
• ROCKY BRANDS, INC.: interest expense
• ROCKY BRANDS, INC.: current liabilities
• ROCKY BRANDS, INC.: current accounts payable
• ROCKY BRANDS, INC.: goodwill carrying amount
• ROCKY BRANDS, INC.: net current accounts receivable
• ROCKY BRANDS, INC.: common-stock repurchase payments
• ROCKY BRANDS, INC.: operating expenses
• ROCKY BRANDS, INC.: net inventory
• ROCKY BRANDS, INC.: gross profit
• ROCKY BRANDS, INC.: selling, general and administrative expense

Inspect the source

Entity

ROCKY BRANDS, INC. / CIK 0000895456

Captured

2026-09-20T05:04:23.908Z

SEC response SHA-256

620a0d6e2c85b9e065223e10f7407db578f1155a836bcfeae63d411ae483a410

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/0000895456.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"])))