Luvu Brands, Inc.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Luvu Brands, Inc.: total assets
• Luvu Brands, Inc.: total liabilities
• Luvu Brands, Inc.: stockholders equity
• Luvu Brands, Inc.: cash and cash equivalents
• Luvu Brands, Inc.: net income or loss
• Luvu Brands, Inc.: operating cash flow
• Luvu Brands, Inc.: capital expenditure payments
• Luvu Brands, Inc.: revenue
• Luvu Brands, Inc.: financing cash flow
• Luvu Brands, Inc.: investing cash flow
• Luvu Brands, Inc.: retained earnings or deficit
• Luvu Brands, Inc.: basic weighted-average shares
• Luvu Brands, Inc.: diluted weighted-average shares
• Luvu Brands, Inc.: basic earnings per share
• Luvu Brands, Inc.: diluted earnings per share
• Luvu Brands, Inc.: income tax expense or benefit
• Luvu Brands, Inc.: net property, plant and equipment
• Luvu Brands, Inc.: share-based compensation expense
• Luvu Brands, Inc.: operating income or loss
• Luvu Brands, Inc.: current assets
• Luvu Brands, Inc.: interest expense
• Luvu Brands, Inc.: current liabilities
• Luvu Brands, Inc.: current accounts payable
• Luvu Brands, Inc.: net current accounts receivable
• Luvu Brands, Inc.: net inventory
• Luvu Brands, Inc.: gross profit
• Luvu Brands, Inc.: research and development expense

Inspect the source

Entity

Luvu Brands, Inc. / CIK 0001374567

Captured

2026-09-20T07:57:22.873Z

SEC response SHA-256

3ee136ad6287c8e6c8ecd3405810a4b104fb86d46da53605b5f425d101e01404

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/0001374567.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"])))