Utz Brands, Inc.: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2021-01-04 to 2025-12-28. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Utz Brands, Inc. / CIK 0001739566

Captured

2026-09-21T17:28:27.688Z

SEC response SHA-256

f9e71b76e18c1d9206cd1dba2de30fe599dc10e768037ee143fbc92264267ee5

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/0001739566.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"])))