Latham Group, 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 2019-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Latham Group, Inc. / CIK 0001833197

Captured

2026-09-21T17:36:27.753Z

SEC response SHA-256

2cee7e41e8dee0609bfdf8fe0b7983e068c024dc8568a0b6aa8c8748732959ae

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/0001833197.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"])))