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PVH PVH Corp.

Consumer Cyclical

92.92 +2.73 +3.02% Close 11/2
Since 2024-12-02 -18.6%
Open
91.34
High
94.72
Low
90.64
Prev close
90.19
Volume
1.3M
Amplitude
4.52%
P/B
0.9
Revenue YoY (TTM)
+1.6%
52W 59.60 100.74

Is PVH Corp. a buy? Fundamentals and valuation first

As of 2026-10-30

Valuation: Cheap, Momentum: Good, Risk / liquidity: Good; Growth: Weak.

Valuation Cheap Free-cash-flow yield is Top; Price / book is Fair.
TTM P/E -25.46 N/A
Price / book 0.87 27th percentile Fair
Free-cash-flow yield (%) 17.18 90th percentile Top
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Neutral FCF margin, TTM is Good, but ROE, TTM is Average.
ROE, TTM (%) -3.53 35th percentile Average
Operating margin, TTM (%) 3.64 43th percentile Average
FCF margin, TTM (%) 8.01 57th percentile Good
Quality Factor Investing: A US Quality Value Backtest
Growth Weak Revenue growth, TTM YoY is Average; Diluted EPS growth, TTM YoY is Lagging.
Revenue growth, TTM YoY (%) 1.64 39th percentile Average
Diluted EPS growth, TTM YoY (%) -139.98 14th percentile Lagging
Momentum Good All 2 indicators are Good.
60-day return (%) 4.26 79th percentile Good
240-day return (%) 16.22 68th percentile Good
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 68,035,173 84th percentile Top
60-day annualized volatility (%) 37.04 42th percentile Good
FinLab Studio

From PVH Corp. to every stock like it

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

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PVH Corp. (PVH) peers and tracking

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PVH Corp. (PVH) 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.

15 times historically; 60-day forward avg -0.04%, win rate 40%, beating the market by -4.86 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.

19 times historically; 60-day forward avg +9.39%, win rate 73.7%, beating the market by +4.52 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.

5 times historically; 60-day forward avg -16.61%, win rate 20%, beating the market by -12.43 pts on average.

EPS surprise beat

Pending

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

29 times historically; 60-day forward avg +0.78%, win rate 48%, beating the market by -2.31 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.