European Luxury Stocks Under Pressure: Can LVMH, Kering and Richemont Recover Without China?

Educational research only — not investment advice.

European luxury stocks remain under pressure as weak Chinese demand challenges one of Europe’s most important industries.

LVMH, Kering and other major luxury groups spent years relying on Chinese consumers for growth.

Now that engine is much weaker.

The key question is:

Can luxury companies grow without a strong China recovery?

Why China Matters So Much

China became one of the most important markets for luxury handbags, watches, jewellery and fashion.

But weak consumer confidence and the long property downturn have reduced spending.

China’s retail sales rose only 0.4% year over year in August, while property investment remained deeply negative.

That matters because luxury spending is highly sensitive to wealth and confidence.

When property values and household confidence weaken, expensive discretionary purchases are easier to postpone.

Luxury Stocks Are Feeling the Pressure

Investors remain cautious.

The STOXX Europe Luxury 10 index was down around 19% year to date in early September.

LVMH shares have fallen even more sharply in 2026, while Kering, Hermès and other luxury names have also faced pressure.

The problem is no longer only China.

Bank of America recently found softer luxury demand across the U.S., Japan, South Korea and other Asian markets as well.

Fashion Looks Weaker Than Jewellery

One important trend is emerging inside the sector.

Fashion and leather goods are struggling more than jewellery.

Consumers have become more resistant to repeated price increases for handbags and clothing.

Bain estimates around 60 million consumers have moved away from luxury goods after years of price rises.

Jewellery has been much stronger.

Richemont, owner of Cartier and Van Cleef & Arpels, reported 20% sales growth in its latest quarter, while jewellery sales rose 24%.

That suggests customers may currently prefer products they see as more durable or valuable.

Can the U.S. Replace China?

Partially.

U.S. consumers have recently supported several luxury groups.

Kering returned to quarterly growth for the first time in roughly two years, with North America helping offset persistent weakness in China.

But relying too heavily on wealthy U.S. shoppers creates another risk.

Luxury demand is increasingly connected to stock-market and property wealth.

If financial markets weaken, spending by affluent consumers could also slow.

What Would a Real Recovery Look Like?

A stronger luxury recovery would probably need several things:

  • improving Chinese consumer confidence
  • stronger fashion sales
  • fewer aggressive price increases
  • continued U.S. demand
  • better growth from younger consumers

Richemont shows that luxury demand has not disappeared.

But consumers are becoming much more selective.

What Should Investors Watch?

Watch China retail sales, LVMH and Kering fashion growth, Richemont jewellery sales, U.S. luxury spending and sector margins.

The central question is simple:

Can European luxury brands find new growth engines while China remains weak?

If China improves, the sector could regain an important source of demand.

If it does not, companies with stronger exposure to jewellery, wealthy U.S. consumers and resilient brands may continue to perform very differently from weaker fashion businesses.

Track Luxury Trends With TradingSimuLab

TradingSimuLab’s Trend Detector and Risk tools help users study changing sector momentum, market leadership and risk conditions.

For more quantitative market research and educational trading tools, sign up to TradingSimuLab.

TradingSimuLab is for educational and research purposes only and does not provide investment advice.

Continue exploring TradingSimuLab.

  • Risk Simulation Explained: VaR, CVaR, Drawdown and MonteCarlo Paths

    TradingSimuLab’s Risk Simulation uses Monte Carlo paths to examine possible future outcomes and, especially, the downside hidden behind an attractive expected return. The most useful risk metrics answer different questions: VaR: Where does severe modeled downside begin? CVaR: How bad are losses deeper in that adverse tail? Maximum Drawdown: How difficult can the path become…

  • Risk Simulation Workflow: Combine Risk, Trend, Persistence and Timing

    A strong trend is not automatically a good risk setup. TradingSimuLab’s Risk Simulation workflow combines direction, durability, timing and downside analysis so one attractive signal does not become the entire research conclusion. The practical sequence is: Trend Detector → Trend Persistence → Timing Model → Risk Simulation This answers four different questions: Is the trend…

  • Risk Simulation Explained: How to Read Monte Carlo Paths,VaR, CVaR and Drawdown Risk

    TradingSimuLab’s Risk Simulation is the downside-path layer of the five-model framework. It uses simulated future price paths to help answer: Is the potential reward attractive enough relative to the modeled downside? Instead of focusing only on upside, Risk Simulation examines: The goal is not to predict one exact future price. It is to understand how…

  • Reversal Warning and Extension Watch: How to Read Trend Maturity Without Overreacting

    A Reversal Warning and Extension Watch are caution layers inside TradingSimuLab’s Trend Persistence model. They help answer two related questions: Reversal Warning: Is the trend showing possible signs of cooling or losing durability? Extension Watch: Has the move become mature or stretched enough to deserve closer attention? Neither means the trend must reverse. A strong…

  • Range and Chop Risk Explained: When Timing Conditions AreNoisy

    Range and Chop Risk describes market conditions where price action is sideways, repetitive, or too noisy to produce a clean directional timing signal. Inside TradingSimuLab’s Timing Model, it acts as the noise layer. A high Range/Chop Risk reading does not mean a large move cannot happen. It means: the immediate market structure is less clean,…

  • Probability of Gain Explained: How to Read Simulation Win-Rate Context

    Probability of Gain measures the percentage of simulated paths that finish above their starting value. If 570 out of 1,000 simulated paths end higher than where they began, the simulation would show a Probability of Gain of approximately: 57% That makes the metric easy to understand—but also easy to misuse. A 57% Probability of Gain…

  • Policy Rate Explained: Why Central Bank Rates Matter forMacro Models

    A policy rate is the short-term interest rate set or guided by a central bank to influence monetary conditions in the economy. It matters to financial markets because changes in central bank interest rates can affect: But the most important lesson is: Higher rates are not automatically bearish, and lower rates are not automatically bullish.…

  • Overextension Heads-Up Explained: Reading Stretch Without Overreacting

    An overextended stock or market is one where price has moved unusually far from its recent trend structure. That can be important—but it does not automatically mean the trend is about to reverse. Inside TradingSimuLab’s Trend Detector, the Overextension Heads-Up is best understood as a maturity warning. It asks: Has price moved far enough from…

  • MACD Explained: Momentum, Trend Confirmation and FakeoutRisk

    The MACD indicator, or Moving Average Convergence Divergence, is a technical momentum indicator used to assess whether price momentum is strengthening, weakening, or changing direction. It is especially useful for answering questions such as: Is momentum improving with the current trend? Is momentum beginning to weaken? Is a crossover occurring inside a real trend—or inside…