Tesla Continues to Falter and Lose Value: This Renowned Analyst Predicts 60% Returns Soon

Tesla reported adjusted EPS of $0.48, above the $0.4511 estimate, but revenue was essentially flat at $28.05B and GAAP operating income fell to $718M from $1.62B. It cut its annual capex forecast by 20%, and shares fell 3.08% in the next session; full-year 2026 EPS consensus has declined to $1.7421 from $2.1306 over 90 days. Wedbush analyst Dan Ives maintains a $600 target implying about 60% upside, but the article says that case depends on rapid robotaxi and AI execution while estimates are falling; Tesla is down 16.71% year to date versus the S&P 500’s 12.03% gain.

Analysis

Tesla’s risk is not simply weaker auto earnings; it is a credibility gap between the AI valuation and the capital commitment needed to earn it. Lower capex can support near-term cash generation, but if it also delays compute, fleet deployment or manufacturing capacity, it weakens the long-duration option value investors are paying for. Conversely, the reported cash balance reduces near-term financing risk, so this is primarily a valuation and execution debate—not a balance-sheet stress thesis.

The key distinction is activity versus monetization: subscription growth and autonomous miles do not establish paid robotaxi utilization, attractive unit economics or regulatory scalability. Until those appear in reported revenue and margins, the market can treat autonomy as an expensive option while earnings estimates continue to reset. Battery constraints also mean backlog is not automatically near-term revenue; resolving supply could help deliveries but would not, by itself, repair automotive profitability.

Over days, the stock may remain sensitive to estimate cuts and capex interpretation. Over 1–3 months, watch for deployment beyond Austin, paid-ride disclosures and estimate stabilization. Over 6–18 months, successful scaling could validate a software/platform multiple; failure leaves a very high multiple exposed to further compression. GM and Ford may benefit relatively if capital rotates toward established auto cash flows, but they are not direct substitutes for Tesla’s autonomy option. The contrarian risk to a bearish trade is that even limited operational evidence could reprice that option quickly.

Key Decisions for Investors

• Avoid treating the analyst target gap as a catalyst. Consider a modest, defined-risk TSLA put spread or a small short-versus-long-GM relative-value position only if willing to bear sharp upside gaps; size for the possibility that autonomy news causes a fast repricing.
• Use upcoming disclosures as the trade trigger: require evidence of paid robotaxi activity, expansion beyond Austin and improving automotive operating performance before adding to a short. Falsify the cautious thesis if these metrics improve alongside stabilized or rising earnings estimates.
• Track capex against deployment, not in isolation. A further reduction without slower rollout would ease capital-intensity concerns; cuts accompanied by delayed milestones would strengthen the bear case.
• Treat GM and Ford as relative-value candidates, not automatic beneficiaries. Reassess if their own guidance or margins weaken, or if Tesla demonstrates monetizable autonomy sooner than expected.