r/valueinvesting
Kioxia (285A.T) valuation after overtaking Toyota: how much of the AI memory cycle is already priced in?
Author questions if Kioxia's valuation reflects a genuine AI re-rating or a cyclical peak/value trap in the NAND/SSD market.
- Market is re-rating Kioxia as an AI infrastructure company.
- Structural shift in AI data center storage demand compared to past memory cycles.
- Strong role in NAND flash and enterprise SSD demand.
- Memory earnings are highly cyclical, and investors may be underestimating this risk.
- Risk of oversupply and the stock potentially being at a cycle peak.
- Current valuation might be a value trap if the AI demand cycle is already fully priced in.
Kioxia recently surpassed Toyota by market capitalization, which feels like a major symbolic shift for Japan’s equity market. I looked at it from a valuation perspective rather than just as an AI momentum story.
My main question is: how much of the NAND/SSD AI demand cycle is already priced into the stock?
My tentative view is that the market is clearly re-rating Kioxia as an AI infrastructure company, but the biggest risk is that investors may be underestimating how cyclical memory earnings can be. I’m not trying to pitch the stock here; I’m trying to test whether this is a genuine valuation re-rating or a cycle-top/value-trap situation.
Key points I looked at:
\- Kioxia’s role in NAND flash and enterprise SSD demand
\- Whether AI data center storage demand is structurally different from past memory cycles
\- Current valuation versus expected earnings
\- Main bear case: memory cyclicality, oversupply risk, and whether this is a cycle peak
\- Whether this is a genuine re-rating or a value trap
I’d appreciate feedback, especially from people who follow memory semiconductors or Japanese equities.
This about more than just Kioxia, it’s how I see the whole memory and semiconductor industry now:
The CEOs of the most profitable companies on earth are having a childish battle for domination in AI. They are pouring all of their profits like a firehouse at AI buildout. The result is a lot like government stimulus during COVID—fundamentally artificial, but causing real growth and real inflation, and sustainable as long as the firehouse keeps flowing. And these companies—AMZN, MSFT, GOOGL, META, X—are so relentlessly profitable, and they’re CEOs so relentlessly childish, that the firehose could easily go on gushing for years.
One day cyclicality will return to chip manufacturing, memory in particular. But we might need to wait until Amazon and Microsoft and Google and Meta and X are on the literal brink of bankruptcy before that will happen. Growth and inflation will continue in memory, and companies like Kioxia and MU and SK Hynix will become ever more profitable and ever more highly valued. And I don’t think it’ll end suddenly. I think there will be clear warning signs, and an obvious chance to take profits, before the firehose dries up.
That’s a very interesting way to frame it, and I broadly agree that this AI capex cycle may be very different from prior memory upcycles.
The “firehose” analogy makes sense to me: even if some of the demand is artificial or incentive-driven, the spending is still real, and it can still create real revenue and pricing power for memory suppliers.
Where I’m still cautious is the exit timing. Memory downturns can look obvious in hindsight, but by the time inventory, ASPs, or capex signals clearly turn, the stocks may already have moved a lot.
So I think the key question is: what warning signs would you watch for before taking profits? Hyperscaler capex guidance? NAND/DRAM pricing? inventory levels? supplier capex announcements? enterprise SSD order lead times?
That’s the part I’m trying to think through: not just whether the AI demand cycle is real, but what data would tell us when the cycle is starting to lose momentum.
I’d watch the hyperscalers for signs of stress, and pulling back on capex. In the last couple weeks we have seen Meta announce paid tiers, and Google announce additional equity to raise cash. This is the first indication I’ve seen that their finances are getting stretched. That’s the sort of thing I’ll be keeping an eye on.
That makes sense. Watching the hyperscalers themselves may be a better leading indicator than waiting for memory pricing to turn.
The Alphabet equity raise is definitely an interesting signal. It suggests that even highly profitable companies may need external capital if AI infrastructure spending keeps scaling faster than operating cash flow.
I’m less sure how to interpret paid tiers from Meta, though. It could be a sign of financial pressure, but it could also just be normal monetization of AI products. Do you see that mainly as a cash-flow stress signal, or more as evidence that they are trying to make the AI buildout self-funding?
I agree that the key thing to watch is not just memory ASPs, but whether hyperscaler capex guidance, free cash flow, and financing behavior start changing. If the buyers start slowing capex, the memory cycle could turn before the suppliers’ reported numbers show it.
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Thanks, that’s very interesting. The backlog point is especially important if true.
Do you have a source or company/industry reference for the backorders being filled well into 2028? Also, are you referring mainly to enterprise SSD demand, NAND more broadly, or specific AI data center-related orders?
My main hesitation is still the cyclicality of memory earnings, so I’m trying to understand whether this demand is structurally different from prior memory upcycles.
20% dip right now, guess I’ll be buying
Are the pricing on these backorders locked in?
The moment Chinese produce cheap memory…
What about the thousands of redditors telling you that memory is a commodity and a cycle?
The thousands of redditors arent up 200% YTD like me. Not my fault they cant reason beyond ‘its cylical’ then give no valid arguments.
Wheres the toyota guy?
i’m from the UK. KXIAY is the only available option on Trading 212.