Avoid these stocks in the second quarter, says Piper Sandler

XLE is up 33% YTD while the S&P 500 is down 3.8% YTD as Piper Sandler flagged S&P 1500 names with the most red flags for Q2. Cushman & Wakefield is down 23% YTD amid AI automation concerns (analyst avg target implies ~43% upside), Uber is down 12% in 2026 after missing robotaxi targets despite a $1.25B Rivian deal to deploy 50k self-driving cars through 2031 (Morgan Stanley PT $100), and Aramark is up 15% YTD with consensus analyst upside of >10% and JPMorgan bullish on 2026 outlook.

Analysis

Geopolitical-driven energy strength is creating a crowded trade that propagates second-order pressures into labor- and asset-light service providers: higher energy costs compress operating leverage for companies that run large fleets or maintain high on-site staff, while simultaneously boosting capex allocation decisions that favor vertical integration and ownership over pure marketplace models. This bifurcation benefits capital-light software/marketplace winners with strong unit economics and hurts mid-cap operators that must fund fleet or service digitization from free cash flow.

Companies investing heavily in long-dated, capital-intensive projects (EV fleets, autonomous deployments) face a two-way execution risk over the next 6–24 months: technology/regulatory progress can re-rate them materially higher, but missed milestones or slower-than-expected cost declines in batteries/autonomy will crystallize impairment risk and raise financing costs. Likewise, high-consensus positive guidance names are vulnerable to sentiment-driven multiple compression on any sequential revenue deceleration; a single quarter beat/miss can swing flows sharply in this environment.

Actionable structural trades should isolate execution and sentiment risk while letting macro catalysts (energy price moves, tech adoption cadence) play out. Shorting companies with concentrated operational execution risk and weak governance/visibility can be paired with longs in higher-quality, cash-generative peers to create idiosyncratic exposure. Options allow skew capture for asymmetric payoffs: buy downside protection where the market is complacent about tech/regulatory delays and buy limited-risk upside on names where guidance appears conservative relative to runway.

Key Decisions for Investors

• Short CWK equity sized 2% NAV with a 6–12 month horizon; target 30–40% downside if revenue per transaction compresses further, stop at 18% to limit idiosyncratic headline risk. Hedge by going +1% NAV long a diversified commercial real estate services ETF to keep macro CRE exposure neutral.
• Put spread on UBER (3–6 month expiry): buy 1 OTM put and sell a farther OTM put to reduce cost (net premium ~50–60% of max loss) — use as a hedge against autonomous/fleet execution slippage. Pair 1:1 with a 1–3 month short position in the stock for faster alpha capture; target 25–35% move in equity or volatility spike, risk limited to premium paid.
• Buy ARMK 6–9 month call spread sized 1.5% NAV to play continued operational recovery and margin leverage from pricing power; structure to cap cost and target 20–30% upside in share price while limiting downside to premium. Trim into any >15% rally and monitor same-store metrics for sequential signs of slowdown.
• Relative-value pair: short UBER / long ARMK (equal dollar) over 3–9 months to isolate exposure between tech-enabled mobility capital risk and resilient food/service distribution margins. This neutralizes broad market beta and profits if capital-intense platform execution lags while service operator fundamentals hold.
• Monitor geopolitical energy catalysts on a 2–8 week cadence: on signs of de-escalation, rotate 50% of energy-related exposures into cyclical recovery names and reduce short positions in service names by 25%, since energy normalization quickly reverses some flow-driven dislocations.