XCEL BRANDS, 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 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

XCEL BRANDS, INC. / CIK 0001083220

Captured

2026-09-19T11:16:19.472Z

SEC response SHA-256

1bf8a14422b898d6ac0c621c1fc1972df09c66c5bafacf5e2f3795825a4ab415

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/0001083220.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"])))