Teradyne, Inc.
Latest List Rankings
Current Synopsis
Teradyne is a semiconductor automated test equipment vendor with additional product-test and robotics businesses. Q1 2026 revenue was a record $1.282B, up 87% year over year, with $1.111B from Semiconductor Test. AI stack position: Wafer-to-AI-data-center test bottleneck: TER sells the testers used to validate increasingly complex AI compute, memory/HBM-adjacent, and product-test devices before deployment. It is upstream infrastructure, not an AI application company.
Current Pillar Scores
+35% model: valuation sanity is 70.4/100, supported by EV/sales 15.4x, FCF yield 0.5%, gross margin 58.7%, profit margin 22.6%. 2x model: valuation-to-growth is 83.4/100 with convexity 86.9/100; that means the score is rewarding growth-adjusted asymmetry, not cheapness in isolation.
The earnings/growth score is driven by reported fundamentals, not narrative. revenue growth 87.0%, earnings growth 314.8%, gross margin 58.7%, operating margin 37.6%, profit margin 22.6%, FCF margin 7.9%. Component support: growth acceleration 98.3, survivability 81.0.
Catalyst Edge is the human-researched AI-thesis score: 79/100, with AI thesis alignment 88/100. Wafer-to-AI-data-center test bottleneck: TER sells the testers used to validate increasingly complex AI compute, memory/HBM-adjacent, and product-test devices before deployment. It is upstream infrastructure, not an AI application company. The main upside evidence: Management stated approximately 70% of Q1 revenue was tied to AI-related demand.; Record Q1 revenue/EPS and Q2 guide still above the prior-year run-rate.; Semiconductor Test is the core revenue engine and directly benefits from higher complexity AI chips and memory devices..
Technical setup comes from price action, not opinion: 20-day return 8.4%, 60-day return 22.5%, 120-day return 86.6%, 60-day relative strength vs QQQ 1.1%, 1-year max drawdown -26.7%, distance from 52-week high -11.3%, 60-day annualized volatility 83.1%. Above 50dma: True; above 200dma: True.
For June this pillar is better read as options/positioning confirmation, not social-media fluff. ATM implied volatility 77.6%, call/put OI 1.2, call/put volume 1.7, OTM call OI share 29.9%, short % float 4.5%, short ratio 1.6. Component support: options asymmetry 82.7, squeeze bonus 0.0.
Goldilox is the bull-case market-cap math: $58.6B current market cap vs $105.0B qualitative bull market cap, or about 1.79x. 35%: +35% is plausible if the Q1 record is not a pull-forward, AI-related demand remains around management's cited ~70% revenue exposure, and Q2 guidance proves conservative. The hurdle is less narrative and more whether semi-test orders sustain after a very sharp move. 2x: A 2x requires TER to be viewed as a scarce AI-test bottleneck rather than a cyclical equipment vendor: continued AI compute and memory tester demand, durable margins, and revenue run-rate expansion well beyond the Q1/Q2 guide. Possible, but it needs multiple expansion on top of already strong fundamentals. The guardrails are: Semi-test is cyclical; record quarters can mark digestion periods if customers over-order capacity.; Current quant market cap and EV/sales already embed a strong AI cycle.; AI-related revenue mix falls materially below management's cited ~70% without an offsetting new catalyst.; Q2/Q3 bookings imply Q1 was a demand pull-forward rather than a sustainable run-rate..
Current Path to Target
+35% is plausible if the Q1 record is not a pull-forward, AI-related demand remains around management's cited ~70% revenue exposure, and Q2 guidance proves conservative. The hurdle is less narrative and more whether semi-test orders sustain after a very sharp move.
A 2x requires TER to be viewed as a scarce AI-test bottleneck rather than a cyclical equipment vendor: continued AI compute and memory tester demand, durable margins, and revenue run-rate expansion well beyond the Q1/Q2 guide. Possible, but it needs multiple expansion on top of already strong fundamentals.
Current Key Risk
Semi-test is cyclical; record quarters can mark digestion periods if customers over-order capacity.; Current quant market cap and EV/sales already embed a strong AI cycle.; Robotics remains less central to the AI data-center bottleneck thesis.; Customer concentration and AI-capex digestion could hit tester demand quickly.
Current Key Metrics
BRRR Appearance History
Current analysis stays canonical. This is the compact scoreboard of where the name has shown up across monthly BRRR lists.
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