ATC
GraniteShares Autocallable COIN ETF
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Most investors chasing the AI boom are overpaying for GPU designers at 30x–40x sales or waiting for low-margin contract assemblers to scale. Cohu ($COHU) gives you direct exposure to the single biggest physical bottleneck in next-gen AI chips—heat and thermal testing.The company dominates this niche and trades at 4.5x sales multiple -- a 35% discount versus its direct peers.
There are three main reasons why this company is set up for a long-term hold and will only continue to see growth over the coming years.
**Reason #1**: The AI Thermal Bottleneck (Eclipse & Active Thermal Control)

*The Problem*: You cannot test an AI GPU or TPU with traditional air cooling. At high voltages, the chip generates extreme heat loads in milliseconds. If test equipment cannot dynamically regulate package temperature, the chip suffers thermal destruction before it ever leaves the factory.

*The Solution*: Cohu’s flagship Eclipse test handler with T-Core Active Thermal Control (ATC) is the reference standard for high-power data center processors. Management recently expanded their High-Performance Computing (HPC) addressable market to $850 Million and raised FY2026 HPC guidance to $100M–$110M (driven by +150% order growth).
**Reason #2**: The HBM3e / HBM4 Metrology Monopoly (Neon Platform)
*The Problem*:The Shift to Hybrid Bonding: Stacking 12 to 16 DRAM layers in High-Bandwidth Memory (HBM) requires ultra-fine sub-micron copper bonding. A single microscopic flaw in the stack ruins a $30,000+ AI host package.
*The Solution*: Cohu’s Neon inspection and metrology platform is being adopted by top memory fabricators and Tier-1 OSATs in Taiwan to inspect fine-pitch hybrid bond pads and TSVs (Through-Silicon Vias) before bonding. They are also already preparing and testing support for HBM5 chips of the future.
**Reason #3**: Valuation Mispricing & Multiple Expansion
*The Problem*: While peers like Teradyne ($TER) trade at ~7.0x sales, Aehr Testing ($AEHR) at ~20x sales and Onto Innovation ($ONTO) trades near ~8.5x sales, $COHU trades around ~4.5x forward sales.
*The Solution*: As high-margin AI/HPC and optical testing mix scales from <10% to 20%+ of revenue, the market will re-rate $COHU from a legacy auto/industrial equipment multiple toward a high-density AI hardware multiple.
Outside of the 3 reasons above, COHU's financial metrics stand out.
Total Cash & Liquidity: $500,000,000
Net Cash after Debt: $200,000,000
Gross Margin Floor!: 45%
Recurring Revenue: 51.5%
The company works internationally, so you have exposure to Asia and the US. They are expanding their Malaysia facility to double their output by late 2026. If the company takes advantage of the AI Boom and makes the right decisions, my target share price for this stock around $100 by EOY 2027.
DYOR -- this is one I am watching and buying

Most investors chasing the AI boom are overpaying for GPU designers at 30x–40x sales or waiting for low-margin contract assemblers to scale. Cohu ($COHU) gives you direct exposure to the single biggest physical bottleneck in next-gen AI chips—heat and thermal testing.The company dominates this niche and trades at 4.5x sales multiple -- a 35% discount versus its direct peers.
There are three main reasons why this company is set up for a long-term hold and will only continue to see growth over the coming years.
**Reason #1**: The AI Thermal Bottleneck (Eclipse & Active Thermal Control)

*The Problem*: You cannot test an AI GPU or TPU with traditional air cooling. At high voltages, the chip generates extreme heat loads in milliseconds. If test equipment cannot dynamically regulate package temperature, the chip suffers thermal destruction before it ever leaves the factory.

*The Solution*: Cohu’s flagship Eclipse test handler with T-Core Active Thermal Control (ATC) is the reference standard for high-power data center processors. Management recently expanded their High-Performance Computing (HPC) addressable market to $850 Million and raised FY2026 HPC guidance to $100M–$110M (driven by +150% order growth).
**Reason #2**: The HBM3e / HBM4 Metrology Monopoly (Neon Platform)
*The Problem*:The Shift to Hybrid Bonding: Stacking 12 to 16 DRAM layers in High-Bandwidth Memory (HBM) requires ultra-fine sub-micron copper bonding. A single microscopic flaw in the stack ruins a $30,000+ AI host package.
*The Solution*: Cohu’s Neon inspection and metrology platform is being adopted by top memory fabricators and Tier-1 OSATs in Taiwan to inspect fine-pitch hybrid bond pads and TSVs (Through-Silicon Vias) before bonding. They are also already preparing and testing support for HBM5 chips of the future.
**Reason #3**: Valuation Mispricing & Multiple Expansion
*The Problem*: While peers like Teradyne ($TER) trade at ~7.0x sales, Aehr Testing ($AEHR) at ~20x sales and Onto Innovation ($ONTO) trades near ~8.5x sales, $COHU trades around ~4.5x forward sales.
*The Solution*: As high-margin AI/HPC and optical testing mix scales from <10% to 20%+ of revenue, the market will re-rate $COHU from a legacy auto/industrial equipment multiple toward a high-density AI hardware multiple.
Outside of the 3 reasons above, COHU's financial metrics stand out.
Total Cash & Liquidity: $500,000,000
Net Cash after Debt: $200,000,000
Gross Margin Floor!: 45%
Recurring Revenue: 51.5%
The company works internationally, so you have exposure to Asia and the US. They are expanding their Malaysia facility to double their output by late 2026. If the company takes advantage of the AI Boom and makes the right decisions, my target share price for this stock around $100 by EOY 2027.
DYOR -- this is one I am watching and buying