AI stocks that still look like good value
Ouster can scale to hundreds of millions of EBITDA by 2030
A 40% revenue CAGR with 30% EBITDA margins produces about $285M of 2030 EBITDA, which at a 25x multiple implies a $7.1B enterprise value if lidar keeps penetrating autonomy, robotics, and infrastructure.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| OUST | Long | Forty percent annual growth and 30% EBITDA margins can produce about $285 million of 2030 EBITDA, which at 25 times is a $7.1 billion enterprise value if lidar adoption continues. |
NVIDIA still looks cheap versus other AI chip leaders
NVIDIA remains the core platform of the AI build-out, yet it trades at a depressed valuation versus AMD, including a PEG ratio around 0.3x that leaves room if earnings growth holds.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| NVDA | Long | NVIDIA is still the core AI compute platform, but it trades at a depressed valuation versus AMD, including a PEG ratio near 0.3x that is too cheap if growth holds. |
Nebius power-unit pricing is understated versus AI-cloud demand
Blended revenue per MW of AI-cloud capacity could approach $20M over the next few years versus a $14M model assumption, and that pricing gap alone implies large upside in earnings power.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| NBIS | Long | Blended AI-cloud revenue per megawatt could approach $20 million over the next few years versus a $14 million model, and that gap alone implies large upside. |
Marvell is the connectivity and co-packaged optics winner
Marvell is positioned as a trillion-dollar connectivity franchise, and the Celestial acquisition strengthens its co-packaged optics offering just as GPU clusters need faster, denser optical interconnects.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| MRVL | Long | Marvell is the connectivity franchise flagged as a trillion-dollar opportunity, and the Celestial acquisition makes it a leading co-packaged optics play as GPU clusters demand denser optical interconnects. |
Applied Optoelectronics is cheap on mid-2027 optical run-rate
Near-term multiples look expensive, but a path to $5.6B of annual run-rate by mid-FY27 against a market cap still below $13.5B implies the stock is cheap on forward optical demand from AI data centers.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| AAOI | Long | Near-term multiples look expensive, but a move toward $5.6 billion of annual run-rate by mid-FY27 at a market cap still below $13.5 billion leaves the stock cheap on AI optical demand. |
Bloom Energy is scarce fast power for AI data centers
The stock screens expensive on current numbers, but few firms can deploy large amounts of on-site power to data centers on short lead times, which is the binding constraint as grid interconnects lag AI load.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| BE | Long | The shares look expensive on current numbers, but few companies worldwide can deliver large amounts of power to data centers on short lead times as grid interconnects lag AI load. |
Themes
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