WESTWATER RESOURCES, INC.: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. 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 2010-03-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• WESTWATER RESOURCES, INC.: total assets
• WESTWATER RESOURCES, INC.: total liabilities
• WESTWATER RESOURCES, INC.: stockholders equity
• WESTWATER RESOURCES, INC.: cash and cash equivalents
• WESTWATER RESOURCES, INC.: net income or loss
• WESTWATER RESOURCES, INC.: operating cash flow
• WESTWATER RESOURCES, INC.: capital expenditure payments
• WESTWATER RESOURCES, INC.: revenue
• WESTWATER RESOURCES, INC.: financing cash flow
• WESTWATER RESOURCES, INC.: investing cash flow
• WESTWATER RESOURCES, INC.: basic weighted-average shares
• WESTWATER RESOURCES, INC.: diluted weighted-average shares
• WESTWATER RESOURCES, INC.: basic earnings per share
• WESTWATER RESOURCES, INC.: diluted earnings per share
• WESTWATER RESOURCES, INC.: net property, plant and equipment
• WESTWATER RESOURCES, INC.: share-based compensation expense
• WESTWATER RESOURCES, INC.: operating income or loss
• WESTWATER RESOURCES, INC.: current assets
• WESTWATER RESOURCES, INC.: interest expense
• WESTWATER RESOURCES, INC.: current liabilities
• WESTWATER RESOURCES, INC.: current accounts payable
• WESTWATER RESOURCES, INC.: net current accounts receivable
• WESTWATER RESOURCES, INC.: operating expenses
• WESTWATER RESOURCES, INC.: cost of revenue
• WESTWATER RESOURCES, INC.: research and development expense

Inspect the source

Entity

WESTWATER RESOURCES, INC. / CIK 0000839470

Captured

2026-09-19T15:09:04.610Z

SEC response SHA-256

9224e7b1d003dfd5559a90ed7db1b130daa19bb64307ecc23005b8a8a86b1877

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/0000839470.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"])))