A thesis. Not just
a ticker.

My perspective on businesses, the expectations priced into them, and what the market might be missing.

2 research papers
NASDAQ: PLABFALL 2026
PLABPhotronics
TECHNOLOGYSemiconductor Equipment & Materials

A higher-value business,
hiding in a cyclical story.

My pitch examines whether the market is overlooking Photronics' shift toward higher-end integrated circuit photomasks, mistaking deferred demand and expansion spending for structural weakness.

REFERENCE PRICE$27.18
THESIS PRICE TARGET$38.76
STATED UPSIDE~39%

Figures from the Fall 2026 pitch; not live prices or realized returns.

Inside the thesis

The opportunity

A transition to higher-value photomasks, a recovery in delayed customer design releases, and capacity investment in Texas and Korea could support stronger earnings power.

Valuation approach

The pitch applies a 19.0× forward P/E to a stated $2.04 forward EPS, versus a reference multiple of 13.3×. The original paper contains the peer comparison and rerating argument.

What could go wrong

Geographic and trade exposure, headline risk from litigation, and the possibility that major foundries retain photomask production in-house could challenge the thesis.

NASDAQ: IRENSPRING 2026
IRENIris Energy
TECHNOLOGYAI Infrastructure & Bitcoin Mining

Looking beyond mining.
Thinking in infrastructure.

My pitch explores Iris Energy's evolution into AI cloud services, weighing the potential of large customer contracts and infrastructure expansion against financing risk and demanding valuation multiples.

THE CENTRAL QUESTION

Can AI infrastructure growth create enough value to justify the capital required to build it?

Inside the thesis

The opportunity

The paper examines the Microsoft AI services agreement described in the original pitch, IREN's vertically integrated infrastructure, and the role of capital restructuring in funding expansion.

Valuation approach

EV/EBITDA and price-to-sales comparisons against HIVE, CleanSpark, and Bitfarms frame the tension between strong growth expectations and elevated trading multiples.

What could go wrong

High valuation multiples, execution against large contract expectations, equity dilution and debt requirements, and a slowdown in AI demand could undermine the investment case.

Explore my financial models.

Financial models