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WHR Whirlpool Corporation

Consumer Cyclical

29.94 Close 10/30
Since 2024-12-02 -70.9%
Open
29.50
High
30.49
Low
28.89
Prev close
29.35
Volume
6.7M
Amplitude
5.45%
P/B
0.5
Revenue YoY (TTM)
-6.4%
52W 25.50 94.82

Is Whirlpool Corporation a buy? Fundamentals and valuation first

As of 2026-10-30

Valuation: Fair, Risk / liquidity: Good; Momentum: Weak.

Valuation Fair Price / book is Cheap, but Free-cash-flow yield is Average.
TTM P/E -13.93 N/A
Price / book 0.53 18th percentile Cheap
Free-cash-flow yield (%) -4.12 34th percentile Average
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Neutral All 3 indicators are Average.
ROE, TTM (%) -3.3 35th percentile Average
Operating margin, TTM (%) 2.48 41th percentile Average
FCF margin, TTM (%) -0.56 38th percentile Average
Quality Factor Investing: A US Quality Value Backtest
Growth Neutral All 2 indicators are Average.
Revenue growth, TTM YoY (%) -6.42 25th percentile Average
Diluted EPS growth, TTM YoY (%) -36.2 40th percentile Average
Momentum Weak All 2 indicators are Lagging.
60-day return (%) -30.37 17th percentile Lagging
240-day return (%) -56.31 15th percentile Lagging
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top, but 60-day annualized volatility is Average.
20-day dollar volume 133,939,918 89th percentile Top
60-day annualized volatility (%) 48.65 54th percentile Average
FinLab Studio

From Whirlpool Corporation to every stock like it

AI finds several complementary traits of Whirlpool Corporation across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

Screen stocks like Whirlpool Corporation

Whirlpool Corporation (WHR) peers and tracking

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Whirlpool Corporation (WHR) quant signal backtests

Market-wide momentum baseline

Across 99,493 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.42%, a 58.4% positive-return rate, and +3.08 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

More history: Signals not active now

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

11 times historically; 60-day forward avg -1.87%, win rate 45.5%, beating the market by -4.51 pts on average.

Top-quintile 6-month momentum

Pending

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

11 times historically; 60-day forward avg -4.82%, win rate 45.5%, beating the market by -6.31 pts on average.

Filed revenue acceleration

Pending

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

23 times historically; 60-day forward avg +4.54%, win rate 59.1%, beating the market by +1.07 pts on average.

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.