Top weekly S&P 500 consumer discretionary gainers & losers: CarMax takes lead; Lululemon bottoms

For the week ending June 20, the S&P 500 Consumer Discretionary sector (NYSEARCA:XLY) saw a decline in price of 1.56%, underperforming the broader S&P 500’s (SP500) 1.08% decline. However, the sector’s year-to-date performance is even weaker, down 6.09%, significantly trailing the benchmark’s 1.47% rise.

This week, consumer discretionary stocks saw shifts as escalating Middle East tensions continued to impact global markets. Investors are now anticipating a potential US decision within the next two weeks, as President Trump considers a direct strike on Iran.

Top S&P 500 consumer discretionary gainers:

CarMax (NYSE:KMX) +3.72% after reporting a FQ1 2026 profit and revenue increase, with used vehicle sales up 9% despite lower average prices.

Chipotle Mexican Grill (NYSE:CMG) +3.71%

Darden Restaurants (NYSE:DRI) +3.66% after the company exceeded top and bottom-line estimates for FQ4 2025. The restaurant operator also increased its quarterly dividend and approved a new $1 billion share buyback program.

Caesars Entertainment (NASDAQ:CZR) +3.08%

Williams-Sonoma (NYSE:WSM) +2.60%

Top S&P 500 consumer discretionary losers:

lululemon athletica (NASDAQ:LULU) -7.92% after announcing that it is restructuring its operations and reducing staff by laying off 150 employees at its Canadian headquarters due to weak sales.

Best Buy (NYSE:BBY) -6.92% announces chief digital, analytics and technology officer Brian Tilzer is leaving the company.

Deckers Outdoor (NYSE:DECK) -5.58%

McDonald’s (NYSE:MCD) -5.18% hitting their lowest level since February due to concerns about customer traffic and spending. Morgan Stanley views McDonald’s as a strong business but notes it is facing challenges, while Argus downgraded the stock due to expected weak traffic.

Lennar (NYSE:LEN) -5.11% after reported FQ2 revenue above expectations but missed earnings. For FQ3, it expects 22,000–23,000 home deliveries and new orders, with a lower average sales price forecast.