SharkNinja beats Q4 EPS estimates, sets buyback

Sharkninja

11/02/2026 11:39

Overview

Product design firm's Q4 net sales rose 17.6%, slightly beating analyst expectations

Adjusted EPS for Q4 beat analyst expectations

Company announced $750 mln share repurchase program

Outlook

SharkNinja expects 2026 net sales to grow 10.0% to 11.0%

Company projects 2026 adjusted net income per share of $5.90 to $6.00

SharkNinja forecasts 2026 adjusted EBITDA of $1,270 mln to $1,280 mln

Result Drivers

PRODUCT CATEGORY GROWTH - Co reported strong sales growth across all four product categories, led by Beauty and Home Environment Appliances

GEOGRAPHIC EXPANSION - Domestic and international sales growth driven by category expansion and new product introductions

COST OPTIMIZATION - Improved gross margins attributed to cost optimization efforts, partially offset by tariffs

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q4 Sales
Slight Beat*
$2.10 bln
$2.09 bln (9 Analysts)
Q4 Adjusted EPS
Beat
$1.93
$1.80 (10 Analysts)
Q4 Net Income
$255.21 mln
Q4 Basic EPS
$1.81
Q4 Gross Profit
$1.008 bln
Q4 Operating Expenses
$663.83 mln
Q4 Operating Income
$343.80 mln
Q4 Pretax Profit
$329.87 mln


*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 13 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"

The average consensus recommendation for the appliances, tools & housewares peer group is "buy"

Wall Street's median 12-month price target for Sharkninja Inc is $139.00, about 17.2% above its February 10 closing price of $118.64

The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 15 three months ago

Press Release: ID:nBwbmBCgxa

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)