r/valueinvesting
Kioxia (285A.T) 市值超越丰田后的估值：AI 存储周期有多少已反映在股价中？
作者质疑 Kioxia 的估值是反映了 AI 的真正重估，还是 NAND/SSD 市场的周期顶部或价值陷阱。
- 市场正将 Kioxia 重新定价为 AI 基础设施公司。
- 与过去的存储周期相比，AI 数据中心存储需求发生了结构性转变。
- 在 NAND 闪存和企业级 SSD 需求中占据重要地位。
- 存储盈利具有高度周期性，投资者可能低估了这一风险。
- 存在产能过剩风险，股票可能正处于周期顶部。
- 如果 AI 需求周期已完全计入股价，当前估值可能是价值陷阱。
Kioxia最近的市值超过了丰田，这在日本股市看来像是一个重大的象征性转变。我从估值角度分析，而不仅仅将其视为一个AI概念炒作故事。
我的主要问题是：有多少关于NAND/SSD的AI需求周期已经反映在股价中了？
我初步的看法是，市场显然正在将Kioxia重新定位为一家AI基础设施公司，但最大的风险在于投资者可能低估了存储芯片盈利的周期性特征。我并不是在推荐这只股票；我是在测试这究竟是真实的估值重估，还是处于周期顶部的价值陷阱。
我关注的关键点包括：
\- Kioxia在NAND闪存及企业级SSD需求中的角色
\- AI数据中心存储需求是否与以往的存储周期有本质不同
\- 当前估值与预期盈利之间的对比
\- 主要看空观点：存储芯片的周期性、供应过剩风险，以及这是否已是周期高点
\- 这是否真正属于估值重估，还是价值陷阱
我很期待大家的反馈，尤其是那些关注存储半导体或日本股市的人。
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.