MALIBU BOATS, INC.: net income or loss

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2011-07-01 to 2026-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

MALIBU BOATS, INC. / CIK 0001590976

Captured

2026-09-20T09:24:06.789Z

SEC response SHA-256

8cadb873454f74b2d754ddd1591e0ddee007dac741daecb693335665d97e13e4

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/0001590976.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"])))