The London Company Income Equity Q1 2026: Winners, Laggards And Key Trades

The London Company Income Equity portfolio returned 4.4% gross (4.2% net) for the quarter versus a 4.2% decline in the Russell 1000 Index, indicating meaningful relative outperformance. GLW continued to outperform on strong Optical Communications demand, especially GenAI-related products, while NTDOY was pressured by rising memory chip costs and concerns about increased AI-driven competition in gaming.

Analysis

GLW’s strength is less about a generic semiconductor upcycle and more about leverage to the narrowest, highest-quality pocket of AI capex: optical interconnects. That matters because this demand is tied to hyperscaler buildouts, which tend to be sticky for multiple quarters once design wins are embedded, creating a better earnings duration than typical hardware names. The second-order effect is that any incremental capacity in photonics, glass, or specialty materials should stay tight, supporting pricing power for the broader supply chain.

The more interesting read-through is that AI is not just creating winners in compute; it is also re-pricing inputs across consumer hardware. Rising memory costs can compress margins quickly for device makers with limited pricing power, and the pressure may lag by 1-2 quarters as inventory rolls through. That creates a likely divergence between infrastructure beneficiaries and downstream consumer-electronics exposures, with the latter more vulnerable if memory remains elevated into the next product refresh cycle.

Consensus may be underestimating the persistence of the GLW upside: the market often treats hardware beats as one-quarter events, but AI networking demand can extend longer if hyperscaler capex stays above plan. Conversely, the negative on gaming competition from AI may be over-discounted in the near term; content substitution is still mostly a years-long issue, while near-term earnings risk is probably more from input inflation than from competitive displacement. The cleanest setup is to separate durable AI infrastructure winners from businesses facing cost inflation without a corresponding pricing tailwind.

Key Decisions for Investors

• Stay long GLW on pullbacks over the next 1-3 months; use weakness to add, with the thesis that AI optical demand can support multiple estimate revisions and de-rate risk is limited if hyperscaler capex remains firm.
• Pair long GLW vs. short a memory-sensitive consumer hardware basket for 1-2 quarters; the spread should benefit if input inflation hits margins before end-demand fully re-accelerates.
• Avoid initiating fresh longs in gaming hardware names until memory prices stabilize; the risk/reward is poor over the next earnings cycle because margin compression can arrive before any AI-related product upside.
• If available, buy medium-dated call spreads on GLW into any sector rotation selloff; this offers defined risk with upside tied to a multi-quarter AI infrastructure rerating.
• Monitor memory spot prices and hyperscaler capex commentary as the key catalysts; if either rolls over, trim GLW exposure because the market will quickly shift from duration to multiple compression.