Billionaire David Tepper Sells Lyft in Favor of Its Biggest Rival, Which Has 30% Upside, According to Wall Street

Appaloosa Management fully exited its Lyft position in Q2 while adding 1.3M+ shares of Uber, making Uber ~7% of the portfolio. Uber reported Q2 gross bookings of $58B (+24% YoY), trips of 3.9B (+18%), and 33% growth in EBITDA, with quarterly free cash flow of $2.8B lifting trailing-12-month FCF above $10B for the first time. Despite AV-driven fears and valuation multiple compression, the article cites a $101 consensus price target (~30% upside) and argues Uber’s operating leverage and expanding higher-margin ads support an asymmetric setup.

Analysis

This looks less like a “buy rideshare” signal and more like a capital-allocation bet on operating leverage. In a platform business, the biggest long-term winner is usually the one that can cross-sell adjacent demand streams and amortize fixed tech, insurance, and incentive spend across the largest user base; that favors UBER over LYFT even if both show decent top-line health today. The second-order effect is that UBER’s ad and delivery mix can cushion any mobility slowdown, while LYFT remains more exposed to a single-product multiple collapse if growth slows even modestly.

The market’s AV obsession is probably mispriced in timing, not direction. Robotaxi pressure is a years-long gross-margin question, but the near-term earnings path is still driven by utilization, insurance economics, and pricing discipline; if UBER keeps compounding cash flow, the stock can rerate before AV economics matter. The real loser from “AV fear” may be LYFT, because weaker scale means it has less room to absorb a period where investors demand proof of durable free cash flow.

A contrarian risk is that this trade becomes consensus and gets crowded into UBER after a strong run. If upcoming prints show booking growth normalizing or if AV partnerships are disclosed without clear economics, the market could reprice UBER as a distribution layer with capped upside rather than a compounder. For TSLA and GOOGL, the key is not headline AV wins but the pace of city-level deployment and whether those fleets remain supply-constrained enough to avoid immediate take-rate pressure on incumbents.

Key Decisions for Investors

• Long UBER / short LYFT as a 3-6 month relative-value pair: thesis is scale-driven operating leverage and better monetization durability. Use a 2:1 notional ratio and add on any market-wide pullback; thesis fails if LYFT re-accelerates bookings while UBER margin expansion stalls.
• Buy UBER on weakness into the next earnings cycle, targeting a 6-12 month rerating if free cash flow stays above a $10B run-rate. Risk/reward is attractive as long as gross bookings growth remains high-teens or better; cut if EBITDA growth decelerates materially versus bookings.
• For a lower-risk expression, sell LYFT call spreads or buy LYFT puts into strength over the next 1-3 months. The trade works if investor focus shifts from “turnaround” to “share donor,” and it should be reversed if LYFT shows sustained outperformance in trip growth or EBITDA margin.
• Watch GOOGL as a secondary AV beneficiary rather than a direct rideshare hedge: any Waymo scaling announcements can pressure UBER multiples in the short term but may also validate autonomous monetization longer term. Consider using GOOGL strength to hedge part of a UBER long if AV headlines accelerate.
• Do not force a TSLA short here; keep TSLA as a catalyst watchlist item. If Tesla discloses materially broader robotaxi deployment in 1-3 months, the implication is multiple compression for UBER and LYFT; absent that, the threat remains more narrative than earnings-relevant.