Source Report 3

Memory Chip Stock Multiples at Cycle Peaks

Full research prompt

Research the forward and trailing P/E, price-to-book, and EV/EBITDA multiples of memory makers (Micron, SK Hynix, Samsung) at the 2018, 2021 and 2000 peaks, and of Nvidia, Cisco, and the telecom and fibre names at the 2000 and 2021-22 peaks. Document the earnings declines that followed (peak to trough, in percent and in months) and how share prices behaved relative to earnings turning points. Output a comparison table against current multiples, with a note on whether memory stocks historically peaked before earnings did.

From When Will AI Capex Peak? What Chip Stock Prices Imply, November 2026

Jon Sinclair using Luminix AI
Jon Sinclair using Luminix AI Strategic Research

Memory stocks have repeatedly looked cheapest on earnings multiples at the cycle top, because the share price turns months before profits do. Telecom and fibre names in 2000, and Nvidia in late 2021, peaked the other way: on very high multiples, with subsequent price damage driven more by multiple compression (and, for fibre, a real revenue collapse) than by the “low P/E trap” that defines memory.

Memory: stocks peak before earnings, so trailing P/E is a warning at the top

Morgan Stanley’s historical count, reported in secondary coverage of a client note, is that memory share prices peaked about four months before earnings in the 2008 and 2012 cycles and about eight months before earnings in 2018. Korean market commentary on the 2017–18 supercycle matches that pattern: Samsung Electronics’ operating profit peaked in the third quarter of 2018, but the stock had already made its high in November 2017; SK hynix still posted a then-record 2018 operating profit while the shares fell more than 40% from that year’s peak.

Micron is the cleanest public case.

  • 2018. The stock’s intra-year high was about $62.62 on 29 May 2018; the trough was about $29.02 on 24 December 2018, a peak-to-trough drop of roughly 54% in about seven months. By early August 2018, with the memory-price peak still close, trailing P/E was about 5.2x — the bottom of its prior five-year range — and the shares then fell about another third into mid-2019. Fiscal 2018 (year ended August 2018) net income was $14.1 billion. That fell to $6.3 billion in fiscal 2019 (about −55%) and $2.7 billion in fiscal 2020 (about −81% from the peak) over roughly 24 months. The stock bottomed in late 2018, well before the earnings trough in 2020. Price-to-book near the May 2018 price high was only about 2.2x; by November 2018, after the price collapse and with book value still rising, P/B was about 1.2x. Year-end 2018 EV/EBITDA sat near the bottom of Micron’s historical range (sources put the 2018 reading around 1.7–4.5x depending on the exact window), because the price had already fallen while EBITDA was still near a peak.
  • 2021–22. Micron’s calendar-2022 high was about $97 in mid-January 2022; the low was about $49 in late September 2022, a drop of roughly 50% over about eight months. Fiscal 2022 net income was $8.7 billion. Fiscal 2023 was a loss of $5.8 billion — a swing from a large profit to a large loss in one fiscal year — and revenue nearly halved to $15.5 billion, with gross margin collapsing from the mid-40s to about −9%. Industry DRAM pricing had already started to crack from late 2021; by early 2023 DRAM prices were down on the order of 50%+ from the prior peak. The shares bottomed in late 2022 while losses were still widening into 2023, then recovered as the cycle turned — the mirror image of the “cheap P/E” signal at the top. At the August 2022 window, trailing P/E was still only about 7x even as the downturn was underway.
  • 2000. Public point-in-time multiples are thinner. Micron’s year-end trailing P/E was extremely high in 1999 (on the order of 150x in one long-run series) and had already compressed into the low-to-mid teens by the end of 2000 as earnings surged into the boom and the price rolled over. The subsequent DRAM bust produced losses, not just slower growth. The same lead-lag — price turning before the earnings peak — is the pattern analysts cite for that era as well, but the exact month gap is less cleanly documented in free sources than for 2008, 2012, and 2018.

SK hynix and Samsung show the same valuation signature. Morningstar-style calendar data put SK hynix’s 2018 price/earnings near 2.7x and EV/EBITDA near 1.4x — classic peak-earnings, already-falling-price readings — versus roughly 9x P/E and about 4x EV/EBITDA in 2021, before the 2022–23 collapse. Samsung’s group operating profit set a record in 2018 (about KRW 59 trillion) and then fell sharply in the fourth quarter of 2018 as memory demand rolled over; the stock had peaked the prior year.

What this means for anyone comparing today’s quotes to “cheap memory.” A 3–6x forward P/E on Micron, SK hynix, or Samsung is not evidence the cycle has been de-risked. It is the historical signature of a market that already expects earnings to fall, and that has often been right about the direction even when it has been wrong about the depth.

Current memory multiples sit in that historical “cheap at the top” band

As of early-to-mid November 2026 (prices moved sharply through the autumn, so forward multiples are date-sensitive):

  • Micron. Trailing P/E about 9.3x and EV/EBITDA about 6.8x around 6–9 November 2026, with price-to-book about 5.6x. Mid-October commentary put the forward P/E near 5.6x after a pullback from the June 2026 high (about $1,213–$1,255). Price-to-book is not cheap versus Micron’s own history: the 2018 stock peak was closer to 2x book, and cycle troughs have traded near or below 1x.
  • SK hynix. One U.S.-listed quotation series in late October / early November 2026 showed trailing P/E about 6.9x, forward P/E about 3.6x, price-to-book about 2.7x, and EV/EBITDA about 3.4x. Korean forward P/E readings in mid-October were cited around 3.2x.
  • Samsung Electronics. 12-month forward P/E was cited near 3.6x in mid-October 2026, below the prior decade low around 6x in October 2018. Group multiples are diluted by non-memory businesses, so the memory franchise itself is even more peak-cycle in character than the headline P/E.

A October 2026 industry note framed the three suppliers at roughly 5.4–6.8x run-rate earnings and argued that, on a mid-cycle margin assumption, the market was already discounting a downturn larger than the last two cycles. That is the mechanism: low forward multiples are the market’s way of saying “these earnings will not last,” not a free option on the peak persisting.

Cisco and the 2000 telecom/fibre complex: high multiples, then a price collapse that earnings only partly justified

Cisco is the opposite of memory. At the 27 March 2000 close of $80.06, market value was about $555 billion and the stock was the world’s most valuable company for a moment. Contemporaneous and later reconstructions put the trailing P/E above 200 and enterprise value-to-sales around 31. Price-to-free-cash-flow was cited near 176. From that close to 11 October 2002 the shares fell about 87% (low near $10).

Earnings did not fall 87%. Fiscal 2000 revenue was $18.9 billion; fiscal 2001 revenue still rose 18% to $22.3 billion. Pro forma net income fell about 21% (from $3.91 billion to $3.09 billion). GAAP swung to a loss because of acquisition and restructuring charges. The fourth quarter of fiscal 2001 was the real air pocket: sales down 25% year on year and pro forma profit down about 86%. Over the following two decades revenue and profits grew substantially — later accounts describe revenues nearly quintupling and profits roughly quadrupling from the late-1990s base — but a buyer at the March 2000 close waited until December 2025 for a higher closing price. The stock peaked with the growth narrative, not months ahead of a known earnings collapse, and the subsequent return was almost entirely multiple compression. Today’s Cisco (early November 2026) trades nearer 30x trailing earnings and about 22x EV/EBITDA — a fraction of the 2000 multiple, even if the absolute price has only recently reclaimed the old high.

Fibre and telecom equipment was worse, because the earnings and revenue did collapse.

  • Mid-2000 forward P/Es, from contemporaneous screens, were on the order of 60x for Corning, 74x for Nortel, 161x for JDS Uniphase, and well over 100x for several component peers. Trailing multiples on optical names were often higher still (press accounts cited JDS Uniphase and SDL in the 160–400x zone).
  • Market-cap destruction from mid-2000 peaks into early 2001 was already enormous (Nortel from roughly $366 billion to about $82 billion in one published snapshot; JDS Uniphase from about $61 billion to about $11 billion). Peak-to-trough share-price declines of 80–95% were typical across the group. An index of fibre heavyweights was down about 78% from July 2000 into the following year in one contemporary tally, wiping out more than $1 trillion of market value.
  • Revenue followed. JDS Uniphase quarterly sales fell from about $920 million in the year-ago quarter to about $262 million by early 2002 (roughly −70%), and the company posted multi-billion-dollar losses dominated by goodwill write-downs. Carrier capex, not a gentle inventory correction, was the driver. Many of these stocks never regained their 2000 highs. Lucent and Nortel were effectively destroyed as independent investment stories.

Implication versus memory. In 2000 the dangerous signal was a triple-digit P/E on a picks-and-shovels story whose customers were overbuilding. In memory the dangerous signal has been a single-digit P/E while pricing and margins are still at a peak. Using Cisco’s 200x peak as the benchmark for “is memory expensive?” answers the wrong question.

Nvidia in 2021–22: a high-multiple growth peak, a deep drawdown, then earnings that more than grew into the old price

Nvidia’s late-2021 peak is closer to Cisco than to Micron, with one crucial difference: the earnings disappointment was a slowdown, not a multi-year bust, and the subsequent upturn dwarfed the prior peak.

  • Around the November 2021 high (split-adjusted prices in the low-to-mid $30s in post-2024 split terms; unadjusted quotes near $330–$346), trailing P/E was about 90x at year-end 2021 in one quarterly series, and Morningstar’s calendar-2021 readings were about 91x price/earnings, about 57x forward earnings, about 31x price-to-book, and about 74x EV/EBITDA. Price-to-sales was about 31x.
  • The shares then fell about 66% from the November 2021 high to the October 2022 low. Gaming revenue went negative year on year through 2022; total revenue growth decelerated from 50%+ to flat-to-down. Fiscal 2023 (ended January 2023) was the digestion year. The stock bottomed before the AI demand shock showed up in results.
  • Earnings then reaccelerated so hard that today’s trailing multiple is far below the 2021 peak even though the share price is many times higher. As of early November 2026, trailing P/E was about 23x and EV/EBITDA about 21x, with price-to-book still elevated (high teens) but well under the 2021 reading near 30x. The 2021–22 episode was a multiple and growth-rate reset, not a memory-style profit collapse from peak to loss.

Cisco’s 2000 buyers were paid in earnings growth that never caught the entry multiple. Nvidia’s 2021 buyers who held through the 66% drawdown were eventually paid by an earnings explosion the 2021 price had not fully anticipated — but only after a drawdown that would have forced most of them out.

Comparison table

Figures are approximate, drawn from the sources above, and are not perfectly contemporaneous (stock-price peak vs fiscal-year-end vs “near the earnings peak”). Forward multiples at historical peaks are especially sparse outside memory, where the low forward P/E was the story. “n.a.” means a clean public figure was not found in the sources retrieved.

Name / episode Approx. stock peak Trailing P/E near peak window Forward P/E P/B EV/EBITDA Earnings after the peak Price vs earnings turn
Micron, 2018 May 2018, ~$63 ~5x by Aug 2018 Low-single-digit into the peak (street was already using ~6x FY2018) ~2.2x at the May high Very low once price fell; ~2–5x range in 2H18 FY18 NI $14.1B → FY20 $2.7B, about −81% over ~24 months Stock peaked ~months before earnings; −54% by Dec 2018, bottomed before the 2020 earnings trough
Micron, 2021–22 Jan 2022, ~$97 ~7–10x into 2022 Compressed as estimates fell ~1.2–2.0x through 2022 ~3x by FY2022 year-end as price had already fallen FY22 NI $8.7B → FY23 loss $5.8B in ~12 months; revenue about −50% −50% by Sep 2022; price bottomed while losses were still widening
SK hynix / Samsung, 2018 Samsung stock high Nov 2017; Hynix rolled over in 2018 Hynix ~2.7x in 2018; Samsung group similarly compressed Forward P/Es in the mid-single digits at the late-2018 earnings peak Hynix ~0.9x in 2018 Hynix ~1.4x in 2018 Samsung OP peaked 2018 then fell; memory OP down sharply from 3Q18 Stocks led earnings by roughly 4–8 months; 40%+ drawdowns while annual profits were still at records
SK hynix / Samsung, 2021–22 2021 highs, then 2022 decline Hynix ~9x in 2021, then lower Already discounting a downturn into 2022 Hynix ~1.5x in 2021, ~0.9x in 2022 Hynix ~4x in 2021, ~2.4x in 2022 Industry revenue down ~30–40% peak to 2023 trough; suppliers cut utilization Same lead: prices fell in 2022 before the worst losses printed in 2023
Memory, 2000 Late-1990s / 2000 boom Micron year-end 1999 very high (~150x in one series); end-2000 already ~14x n.a. cleanly Elevated into the boom, then compressed n.a. cleanly Subsequent DRAM bust produced losses Price rolled over as earnings were still rising into the peak; less precisely dated than 2018
Cisco, Mar 2000 27 Mar 2000, $80.06, ~$555B >200x Still triple-digit on near-term estimates into early 2000 (one Jan 2000 quote ~109x FY2000) n.a. at the peak in sources used EV/Sales ~31 (EV/EBITDA not the metric used then) FY01 revenue still +18%; pro forma NI −21%; GAAP loss on charges. Q4 FY01 sales −25%, pro forma profit −86%. Long-run earnings grew −87% by Oct 2002. Price peak and narrative peak coincided. Took ~25 years to reclaim the high despite multi-fold earnings growth
Fibre / telecom equipment, 2000 (JDSU, Corning, Nortel, Lucent) Spring–summer 2000 Often 100–400x where earnings existed ~60–170x on 2001 estimates in Aug 2000 screens n.a. consistently Extreme on sales; many names had little sustainable EBITDA Revenue −50% to −70%+ within 12–24 months; multi-billion goodwill losses Prices and fundamentals collapsed together. 80–95% drawdowns; many never recovered
Nvidia, Nov 2021 Nov 2021 ~90x at end-2021 ~50–60x forward ~31x ~70–75x Growth slowed sharply in FY2023 (gaming down hard); not a peak-to-loss collapse −66% to Oct 2022. Price bottomed before the AI earnings reacceleration. Subsequent earnings growth more than absorbed the old multiple
Micron, now (Nov 2026) — ~9x ~5–6x (mid-Oct; price-sensitive) ~5.6x ~7x Cycle still in the boom; FY2026 earnings far above any prior peak Forward multiple is in the historical “peak-cycle” zone; P/B is above prior cycle peaks
SK hynix, now — ~7x ~3.2–3.6x ~2.7x (U.S. line) ~3.4x Same Cheapest of the three on forward earnings; historically that has been the danger zone, not the all-clear
Samsung, now — Group trailing higher than pure memory ~3.5–4x forward (mid-Oct) Group P/B well above 2018 troughs Group EV/EBITDA mid-single digits in recent models Memory is the swing factor inside a conglomerate Forward P/E below the 2018 low that preceded the last bust
Nvidia, now — ~23x Mid-teens on published forward figures High teens ~21x Earnings have grown through the multiple Far below the 2021 peak multiple because earnings outran the 2022–26 price rise
Cisco, now — ~30x ~19x ~7–8x ~22x Mature growth Multiple is a small fraction of March 2000; absolute price only recently exceeded that peak

How prices behaved relative to earnings turning points

Three distinct mechanisms show up in the record.

  1. Memory (2018, 2021–22, and the earlier cycles Morgan Stanley dated). The share price peaks first — on the order of four to eight months before earnings — because the market stops extrapolating peak margins as soon as pricing inflects or inventories build. Trailing P/E therefore prints its lowest readings near the earnings peak, which is the worst time to treat a low multiple as a buy signal. The stock often bottoms before, or around, the earnings trough, so the highest trailing P/Es (or “n/m” when earnings go negative) have coincided with the best subsequent returns. August 2018 Micron at 5x, followed by a further large decline, and June 2023 Micron at a very high P/E because earnings had collapsed, followed by a sharp rally, are the textbook pair.

  2. Cisco 2000. The price peaked with the enthusiasm, not ahead of a visible earnings cliff. Near-term operating earnings dipped (pro forma profit −21% in the first down year; one quarter −86%) but the business did not go through a memory-style profit-to-loss cycle. Almost all of the 87% drawdown was the multiple. Long-run earnings growth of high-single to low-double digits compounded was not enough to bail out a 200x entry for a generation.

  3. Fibre 2000 and Nvidia 2021, as the two tails. Fibre combined Cisco-like entry multiples with a genuine demand collapse (carrier capex), so both the multiple and the earnings base were destroyed. Nvidia combined a high entry multiple with a cyclical slowdown in gaming, then an earnings regime change in data-center AI. The 66% drawdown happened before that regime change was in the numbers; holders who needed the earnings to “prove it” before the bottom did not get that proof in time.

The direct answer on the question’s last point: yes. Memory stocks have historically peaked before earnings. The lag cited for the best-documented cycles is about four months (2008, 2012) to about eight months (2018), and the 2021–22 tape rhymed with that lead. Today’s 3–6x forward P/Es on Micron, SK hynix, and Samsung are in the same zone those stocks occupied when the last two peaks were already behind the share price and still ahead of the earnings peak. That is not a forecast that this cycle must end the same way — HBM mix, multi-year supply agreements, and the scale of AI demand are real differences — but it is the historical base rate the multiples are being compared against. Nvidia and Cisco at their famous peaks were expensive on a completely different metric: they were priced for many years of uninterrupted growth, and the subsequent path depended on whether that growth showed up (eventually, for Nvidia after a deep drawdown; not at the required rate, for Cisco) rather than on whether peak-cycle margins mean-reverted.


Recent Findings Supplement (November 2026)

Recent analyst reports (primarily Oct-Nov 2026) from firms like Bank of America, Morgan Stanley, Nomura, and others highlight a sharp de-rating in memory stock valuations amid a sell-off, even as fundamentals (earnings, margins, and supply tightness) remain strong or improving. These notes reference historical cycle patterns but do not provide exhaustive new datasets on exact 2000/2018/2021 peak multiples across all requested metrics (P/E, P/B, EV/EBITDA) for memory makers or comparables like Nvidia, Cisco, and telecom/fiber names.[1][2][3]

No major new regulatory/policy updates, comprehensive historical research publications, or revised peak-trough earnings/price datasets appear in post-11/10/2025 sources. Focus is on current (2026) multiples versus implied historical norms, with qualitative nods to past behavior.

Current memory stock multiples (as of Oct-Nov 2026) sit at or below prior upcycle ranges, driven by a 20-58% sell-off from June 2026 highs despite rising profits and multi-year sold-out supply.[4][5][6]

  • SK hynix and Samsung trade at ~2.5-3.7x 2027E or next-year forward P/E (some reports cite 2.7-3.0x 2027E / 2.3-2.8x 2028E); Micron at ~4.8-5.2x forward P/E. These are 30-50%+ below the 4-7x observed in prior upcycles (e.g., pre-2001, 2008, 2018, 2022). P/B ratios near 1.0x 2027-28E book value for the Koreans, levels historically seen at cycle bottoms.[1][3][7]
  • Run-rate or current earnings multiples for the three (Micron, SK hynix, Samsung) cluster in a ~5.4-6.8x peak-cycle range, implying investor expectations of significant earnings declines.[4]
  • This follows a period of explosive earnings growth (e.g., Micron revenue +256% FY2025 to FY2026 in one account; Samsung Q3 op. profit surge). Stocks fell sharply in Oct 2026 (e.g., SK hynix -24% in one week, broader memory names down >50% from peaks for some), pushing multiples lower even as DRAM prices rose and supply remained constrained.[5][6]

Recent reports confirm the historical pattern that memory stock prices have often peaked before earnings (e.g., ~4 months ahead in 2008 and 2012; ~8 months in 2018 per Morgan Stanley).[2]

  • Earnings declines post-prior peaks included Samsung op. profit halving (~2018-2019) or falling 85% (~2022-2023); Micron EPS dropping ~80% (FY2018 to two years later). Current expected EPS are multiples higher than at the 2022 peak.[5]
  • Low forward multiples today are framed as pricing in downturns larger than recent cycles (hypotheticals in one note suggest 1.5-3.5x the size of prior ones under certain margin assumptions).[4]
  • SK hynix disclosed production effectively sold out through 2029 (with shortages potentially persisting to 2030), supporting views that the cycle differs due to AI/HBM demand and long-term agreements, though capacity ramps are still flagged for 2027+.[8]

Nvidia and Cisco comparisons in recent commentary emphasize Nvidia's materially lower multiples versus Cisco's 2000 peak, with no new granular 2021-22 Nvidia peak data.[9][10]

  • Cisco 2000 peak: ~200-234x trailing P/E; ~130x forward P/E.[9][11]
  • Nvidia (as of late 2026): Trailing P/E ~22-35x range across reports; forward P/E ~11-14x (or ~13x in one snapshot); EV/EBITDA ~19x TTM. Some notes place it at ~40x forward in earlier 2026 context or note de-rating from higher prior levels.[12][13]
  • Broader context: Nvidia's profitability (high margins, cash flow) and customer base (hyperscalers) are contrasted favorably with 2000-era dynamics, though overbuild risks are noted. No specific new multiples for telecom/fiber names at 2000 peaks beyond legacy references to extreme valuations (e.g., hundreds of x P/E for some fiber components).

Overall, recent sources position current memory multiples as unusually compressed relative to both historical upcycle norms (4-7x) and ongoing/expected earnings strength, with stocks appearing "cheapest at peak earnings"—consistent with past cycles where prices turned before fundamentals.[2][3] Direct apples-to-apples historical tables for all requested peaks/metrics are not newly published in these sources. For precise peak-trough quantification or 2000-era telecom/fiber details, older data or custom modeling would be needed. Current Nvidia multiples remain elevated versus broad market but far below 2000 Cisco extremes.

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