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Super Micro Computer (SMCI) — Deep Dive

Prices as of the Mon 05 Oct 2026 close · data pulled 2026-10-06 07:31:00+00:00 · refreshed weekly · methodology

Not investment advice

Educational analysis built from public data (Yahoo Finance, Kenneth French Data Library) and explicit model assumptions. Numbers update automatically; the qualitative notes are dated.

Verdict: Reduce / Avoid — 3/8 checks pass

Super Micro Computer is profitable at the operating line but free-cash-flow negative after capex and stock compensation, with net debt of USD 1.7bn and consensus revenue of 67.1bn for FY2027 and 78.8bn for FY2028 (+17%). At USD 43.19 the market prices in 23% a year revenue growth after FY2028 (fading to 4%) at a 4% owner-FCF margin, or a 6% margin on the base growth path. The base-case DCF is USD 21 (-52%). Cash runway at the current burn: about 1.1 years.

Check Pass Evidence
Valuation: base-case DCF at or above price ❌ base DCF USD 21 vs price USD 43
Relative value: forward P/E at most 1.2x the peer median ✅ 8.1x FY2028E vs peer median 17.0x
Street: de-biased, shrunk analyst alpha > 0 (ch27) ❌ -6.7%
Momentum: 12-1 month return > 0 (ch11) ❌ -28%
Trend: price above 200-day MA (ch12) ✅ +35% vs 200DMA
Not overbought: RSI(14) below 70 ✅ RSI 61
Fundamentals: revenue growing and FCF positive ❌ revenue +93% y/y, TTM FCF -7.0bn
Balance sheet: net cash ❌ net cash -1.7bn

Snapshot

Metric Value Metric Value
Price USD 43.19 Market cap USD 27.9bn
Enterprise value USD 29.7bn Net cash USD -1.7bn
52-week range 20.53 – 58.68 From 52w high -26.4%
Trailing P/E (GAAP) 13.2x Forward P/E FY2027 / FY2028 10.0x / 8.1x
PEG (FY+1 P/E ÷ EPS growth) 0.36 EV / TTM revenue 0.8x
TTM revenue USD 39.1bn TTM FCF / after SBC -7.0bn / -7.4bn
Beta vs SPY (raw / Blume) 2.01 / 1.67 Realized vol 20d / 1y 68% / 95%
Analysts / mean target 16 / USD 42 (-1.9%) Next earnings 2026-11-03
Shares out (diluted proxy) 0.647bn Short interest (% float) 18.8%
Sector ETF benchmark XLK Cash runway (cash ÷ FCF burn) 1.1 years
Institutions / insiders 70% / 12.68% Dividend none

1. Price over time

Price history

Ticker 1M 3M 6M YTD 1Y 3Y 5Y 10Y 10Y CAGR
SMCI +9% +59% +96% +48% -17% +49% +1059% +1766% 34.0%
XLK +7% +10% +47% +40% +42% +143% +178% +834% 25.0%
SPY +1% +3% +18% +15% +17% +87% +91% +321% 15.5%
DELL +5% +34% +220% +343% +297% +773% +1032% +4369% 46.2%
HPE +32% +59% +180% +188% +185% +337% +421% +583% 21.2%
NVDA +4% +22% +35% +28% +28% +424% +1073% +14172% 64.2%
ANET +7% +19% +64% +58% +42% +327% +838% +3796% 44.2%

Largest one-day moves in the last 5 years: 20 Mar 2026 -33.3%, 30 Oct 2024 -32.7%, 10 Jun 2026 -28.0%, 19 Jan 2024 +35.9%, 22 Feb 2024 +32.9%.

2. Return and risk (ch.5)

Statistics use the 60 complete months to Sep 2026.

Statistic Value What it means
Arithmetic mean (annualized) 88.8% Expected one-period return if the past repeats
Geometric mean (CAGR) 62.2% What a buy-and-hold investor actually earned; the gap ≈ σ²/2 is volatility drag
Standard deviation (annualized) 98.1% 6.3× the S&P 500's 15.7%
Skewness / excess kurtosis 1.29 / 2.92 Right-skewed, fat tails vs normal
5% monthly VaR: historical / normal -30.3% / -39.2% One month in 20 loses at least this much
5% monthly expected shortfall -36.3% Average loss in that worst 5% of months
Sharpe ratio (S&P 500) 0.87 (0.67) Excess return per unit of total risk
Sortino ratio 1.96 Excess return per unit of downside risk
Max drawdown, 5y -84.8% (trough Nov 2024) Currently -63.6% from the peak

Risk

3. Index model, CAPM and factors (ch.8–10)

Regression (60m excess returns) Alpha (ann.) t(α) Beta t(β) R² Residual σ
vs SPY +64.2% 1.50 2.01 2.57 0.10 92.9%
vs XLK +48.1% 1.20 1.92 4.05 0.22 86.6%
  • Risk decomposition (ch.8): systematic variance β²σ²(M) = 9.9% vs firm-specific σ²(e) = 86.3%, so 10% of the risk is market-driven and 90% is diversifiable.
  • CAPM required return (ch.9): k = r_f + β × MRP = 4.02% + 2.01 × 5.5% = 15.1% (Blume-adjusted β 1.67 → 13.2%, used as the DCF discount rate).
  • Historical alpha of +64.2% a year has a t-stat of 1.50: not statistically distinguishable from zero (ch.11: past alpha is a weak guide).
  • Fama-French 5 factors + momentum (ch.10, 150 months to Jul 2026): R² 0.13, alpha +19.6% (t 0.99). Loadings: Mkt-RF +1.61 (t 4.0), SMB -1.09 (t -1.6), HML -0.39 (t -0.6), RMW -0.65 (t -0.9), CMA +0.08 (t 0.1), Mom +0.03 (t 0.1). The loadings describe a large-cap, growth, low-profitability return profile (SMB > 0 small-cap, HML < 0 growth, RMW < 0 weak profitability, CMA < 0 aggressive investment).

Rolling beta

4. Portfolio fit: allocation and diversification (ch.6–7)

Correlation of monthly returns with SMCI (60m): XLK 0.47, SPY 0.32, DELL 0.41, HPE 0.28, NVDA 0.52, ANET 0.15.

  • A 50/50 mix with SPY would have had volatility of 52.1% vs 56.9% for the weighted average of the two, a diversification benefit because ρ = 0.32 < 1.
  • Optimal risky share y* = [E(r) − r_f] / (A·σ²), holding SMCI alone against T-bills (σ = 98.1%):
Risk aversion A y* with CAPM E(r) y* with E(r) + Street α
2 6% 2%
3 4% 2%
4 3% 1%
6 2% 1%

Even a risk-tolerant investor would put only a modest share in a single stock this volatile. Ch.7–8 say the efficient choice is the market portfolio plus a Treynor-Black tilt (section 9), not a concentrated position.

5. Financial statements: quality of earnings (ch.19)

Quarter Revenue Q/Q Gross m. Op. m. (GAAP) Net m. R&D % SBC % Diluted EPS FCF FCF m. DSO (days) DIO (days)
2025-06 5.8bn n/a 9.5% 4.0% 3.4% 3.2% 1.5% n/a 0.84bn 14.6% 35 82
2025-09 5.0bn -13% 9.3% 3.6% 3.4% 3.5% 1.8% 0.26 -0.95bn -18.9% 46 115
2025-12 12.7bn +153% 6.3% 3.7% 3.2% 1.4% 0.7% 0.60 -0.05bn -0.4% 79 81
2026-03 10.2bn -19% 9.9% 6.1% 4.7% 2.1% 1.2% 0.72 -6.70bn -65.4% 75 110
2026-06 11.1bn +9% 17.5% 13.4% 10.6% 1.8% 1.0% 1.62 0.72bn 6.5% 50 128

Fundamentals

  • DuPont, TTM: ROE 26.6% = net margin 5.7% × asset turnover 1.78 × leverage 2.62. Relative to typical levels (10% margin, 0.8 turnover, 2.0 leverage) the biggest driver is asset turnover.
  • Cash conversion: TTM operating cash flow -6.8bn vs net income 2.2bn. The accruals ratio of +41.2% of assets is positive, so watch the earnings quality.
  • Stock-based compensation of 0.4bn TTM (1.1% of revenue) is a real cost to shareholders. The valuation below uses FCF after SBC (owner FCF margin -18.9%). Buybacks were n/a; share count changed +10.6% over the year.
  • Operating leverage (ch.17): degree of operating leverage 1.56 (last two fiscal years): each 1% change in sales moved EBIT by about 1.6%.

6. Valuation (ch.18)

Valuation

Multiples vs peers (Yahoo Finance, TTM and next-year; peers chosen by hand in config.json):

Ticker Fwd P/E P/S TTM EV/EBITDA FCF yield Rev. growth FY Gross m. EBIT m. ROE TTM Target upside
SMCI 8.1x 0.7x 12.2x -30% 93% 11% 13% 21% -2%
DELL 19.0x 2.3x 21.1x 2% 58% 20% 12% n/a 6%
HPE 14.5x 2.2x 15.2x 5% 34% 37% 13% 11% 5%
NVDA 15.1x 19.0x 28.5x 1% 106% 75% 66% 117% 38%
ANET 39.8x 24.8x 53.4x 1% 38% 63% 45% 31% 17%
Peer median 17.0x 10.7x 24.8x 2% 48% 50% 29% 31% 11%

Growth embedded in the price (PVGO). With FY2028E EPS of USD 5.33 and k = 13.2%, the no-growth value E₁/k is USD 40.26. PVGO = USD 2.93, which is 7% of the price, so the price leans mostly on existing earnings power. No-growth P/E = 1/k = 7.6x vs the actual 8.1x.

Constant-growth check. On TTM owner FCF, P = FCF₁/(k − g) implies a perpetual growth rate of 39.1%, above the 4% long-run nominal-GDP ceiling the book recommends for g.

Scenario DCF (owner FCF, k = 13.2%, terminal g = 4%). The revenue path is FY2027 (67.1bn), then the FY2028 low/avg/high estimate, then growth that fades linearly to 4% over 8 years. Owner-FCF margin ramps from today's -18.9% to the scenario margin over 5 years. Scenario assumptions are generic (derived from consensus growth and today's owner-FCF margin).

Scenario FY2028 revenue Growth after Owner-FCF margin FY2036 revenue Terminal value share Value / share vs price
Bear 70.8bn 6% 3% 107bn 2797% USD -2 -105%
Base 78.8bn 12% 4% 153bn 148% USD 21 -52%
Bull 89.4bn 18% 5% 222bn 102% USD 57 +33%

Reverse DCF: what today's price assumes. On the base revenue path the price requires a steady-state owner-FCF margin of 6%. At the base 4% margin it requires 23% growth after FY2028, or a discount rate of 11.0% (vs the model's 13.2%).

Sensitivity: base revenue path, value per share by discount rate (rows) and steady-state owner-FCF margin (columns).

k \ margin 3% 4% 5% 6%
10.2% 25 48 70 92
11.2% 15 34 53 72
12.2% 8 24 40 56
13.2% 2 16 30 44
14.2% -2 10 23 35

Earnings-multiple cross-check: FY2028E EPS USD 5.33 × 20x = 107, 25x = 133, 30x = 160, 35x = 186, 40x = 213, 45x = 240. The price implies 8x. The FY2028 EPS range across analysts is 3.53–7.26.

7. Market efficiency and earnings reactions (ch.11)

Market-model abnormal returns (vs SPY, estimated over the 250 days before each event) for the last 12 releases:

Announced Reaction day EPS vs est. Surprise AR day 0 CAR [−1,+1] Drift CAR [+2,+20]
2026-08-11 2026-08-12 1.70 vs 0.96 77.5% +18.5% +22.5% +12.0%
2026-05-05 2026-05-06 0.84 vs 0.62 34.5% +21.0% +16.8% +31.1%
2026-02-03 2026-02-04 0.69 vs 0.49 41.4% +14.7% +10.2% +5.0%
2025-11-04 2025-11-05 0.35 vs 0.39 -10.1% -12.2% -18.6% -22.5%
2025-08-05 2025-08-06 0.41 vs 0.44 -6.6% -19.8% -20.4% -17.4%
2025-05-06 2025-05-07 0.31 vs 0.30 3.8% -2.1% -0.3% +19.9%
2025-02-25 2025-02-26 0.60 vs 0.59 1.9% +12.3% -8.4% +1.1%
2025-02-25 2025-02-26 0.74 vs 0.75 -1.9% +12.3% -8.4% +1.1%
2024-08-06 2024-08-07 0.63 vs 0.81 -23.2% -17.7% -26.0% -35.0%
2024-04-30 2024-05-01 0.67 vs 0.56 19.4% -13.7% -13.4% -15.2%
2024-01-29 2024-01-30 0.56 vs 0.52 8.3% +3.1% +11.7% +34.5%
2023-11-01 2023-11-02 0.34 vs 0.32 5.7% -5.9% -1.0% -13.2%
  • Average absolute day-0 abnormal move: 12.8%. The sign of the EPS surprise matched the sign of the reaction 67% of the time, which is close to a coin flip: guidance and commentary matter more than the headline EPS beat.
  • Post-announcement drift: the correlation between the initial reaction and the next-20-day drift is 0.84. A positive value hints at under-reaction (PEAD, ch.11–12), though with only 12 events the evidence is weak.

Event study

8. Technicals and behavioural signals (ch.12)

Indicator Value Read
Price vs 50-day / 200-day MA +17% / +35% Golden cross (50 > 200)
RSI(14) 61 Neutral
12-1 month momentum -28% Negative (Jegadeesh-Titman)
6-month relative strength vs XLK +33% Leader
Insider sales / purchases, last 6m USD 0.02bn / USD 0.00bn Net selling, often planned 10b5-1 sales; insider buying is the informative signal (ch.11)
Ratings (strong buy / buy / hold / sell) 2 / 3 / 11 / 3 Mixed views: less crowded positioning
FY2028 EPS estimate: now vs 90 days ago 5.33 vs 3.71 +44% revision; up/down revisions in the last 30 days: 8/0

9. Treynor-Black: should an active manager overweight it? (ch.27)

Step Value
Analyst-implied 12m return (mean target / price − 1) -1.9%
CAPM 1-year required return (raw β) 15.1%
Raw alpha -17.0%
Minus average analyst optimism bias (Top-30 cross-section) -9.9%
Shrunk alpha (× 0.25, for forecast imprecision) -6.7%
Residual variance σ²(e) 86.3%
Initial active weight w₀ = [α/σ²(e)] / [E(R_M)/σ²_M] -3.5%
Beta-adjusted weight w* = w₀ / [1 + (1 − β)w₀] -3.4%

A negative weight means an active manager would underweight it relative to the index.

10. Options market view (ch.20–21)

IV term structure

Expiry Days ATM IV Implied ±1σ move to expiry 90% put − 110% call IV (skew)
2026-10-16 11 66% ±11.5% (±5) -0.9%
2026-10-23 18 65% ±14.3% (±6) +2.3%
2026-10-30 25 67% ±17.6% (±8) -1.2%
2026-11-06 32 76% ±22.4% (±10) +1.2%
2026-11-13 39 79% ±25.7% (±11) -3.8%
2026-11-20 46 77% ±27.1% (±12) -2.4%
2026-12-18 74 74% ±33.4% (±14) -0.8%
2027-01-15 102 72% ±37.8% (±16) -1.8%
2027-02-19 137 75% ±45.9% (±20) +7.4%
2027-03-19 165 75% ±50.4% (±22) +7.0%
2027-05-21 228 79% ±62.5% (±27) +4.3%
2027-06-17 255 77% ±64.5% (±28) -4.0%
2027-09-17 347 82% ±80.4% (±35) -4.2%
  • Earnings-implied move: the jump in variance from the 2026-10-30 expiry (IV 67%) to 2026-11-06 (IV 76%) prices an earnings-day move of ±10.4% (1σ), or about ±8.3% in absolute terms (≈ ±4). Compare the historical average absolute reaction of 12.8% in section 7.
  • Implied vs realized: the ~1-month ATM IV is 76% vs realized 68% (20d) / 85% (60d) / 95% (1y). Options are cheap relative to recent realized volatility, so buying protection is relatively inexpensive.
  • Put-call parity (ch.20): at the ATM strike for 2026-11-06, C − P − (S − PV(K)) = +0.07 per share. Close to zero, as parity requires.
  • Quotes were unavailable when the data was pulled (outside market hours), so implied vols use each contract's last trade price. Treat them as approximate; illiquid strikes can be stale.

Premium-selling menu for holders: the last expiry before earnings (2026-10-30), about 0.15/0.20/0.25/0.30 delta.

Type Strike Bid / Ask Price IV Delta P(expires OTM) Distance Yield Annualized OI
Call 48 – 1.45 69% +0.32 75% +11.1% 3.36% 49% –
Call 50 – 0.95 67% +0.23 82% +15.8% 2.20% 32% –
Call 51 – 0.80 68% +0.20 84% +18.1% 1.85% 27% –
Call 52 – 0.70 69% +0.18 86% +20.4% 1.62% 24% –
Put 37 – 0.73 68% -0.16 79% -14.3% 1.97% 29% –
Put 38 – 0.97 68% -0.21 74% -12.0% 2.55% 37% –
Put 39 – 1.24 68% -0.25 69% -9.7% 3.18% 46% –
Put 40 – 1.56 67% -0.30 64% -7.4% 3.90% 57% –

Calls = covered calls on shares you own (yield on the share price); puts = cash-secured puts (yield on the strike). Prices are last trades at the data pull and indicative only; check live quotes before trading.

11. Our hourly signal model

SMCI is not in the Top-30 signal universe.

12. Qualitative analysis: business, PEST, catalysts and risks

Qualitative notes reviewed 2026-10-06

These notes are written by hand, unlike the auto-refreshed numbers above. Events up to late 2025 come from company announcements. Later developments are inferred from the data (consensus estimates, price reactions) and should be checked against SMCI's 10-Q/10-K filings and earnings calls.

Business in one paragraph

Super Micro Computer builds high-performance servers, storage systems, AI racks and data-center infrastructure. Revenue is driven by AI GPU systems, direct liquid cooling, rack-scale integration and fast time-to-market with NVIDIA, AMD and Intel platforms. It is not a chip designer; it is a design, procurement, manufacturing and integration specialist with thin margins, high working-capital swings and customer concentration. The investment case hinges on whether Supermicro can keep winning Blackwell-class AI server deployments while restoring investor trust in controls, audits and supply-chain execution.

Key developments

When Event Why it matters
Mar-Oct 2024 SMCI joined the S&P 500 and completed a 10-for-1 stock split. Reflected AI-server momentum and brought a larger investor base, increasing scrutiny.
Aug 2024 Hindenburg published a short report and SMCI delayed its FY2024 Form 10-K. Shifted the debate from growth to accounting controls and governance risk.
Oct-Nov 2024 EY resigned as auditor; BDO was later appointed. Auditor turnover raised risk perception even before the business outlook changed.
Dec 2024 A board special committee reported no evidence of fraud or misconduct. Helped stabilize confidence, but internal-control remediation remained necessary.
Feb 2025 SMCI filed delayed annual and quarterly reports and regained Nasdaq compliance. Removed near-term delisting risk and refocused attention on AI rack demand.
2025 Management highlighted direct liquid cooling and NVIDIA Blackwell platforms. Liquid-cooled racks are central to the next wave of AI infrastructure revenue.

PEST analysis

Factor Tailwinds Headwinds Net
Political US data-center buildout, sovereign AI projects and reshoring interest support domestic server integration. Export controls on advanced GPUs, supply-chain geopolitics and energy permitting can disrupt customer deployments. ⚖️
Economic Hyperscaler AI capex and enterprise GPU clusters can support very rapid revenue growth. Margins are low, inventory is expensive, and demand can pause if GPU allocations, financing or customer budgets shift. ⚖️
Social AI adoption by enterprises and governments increases demand for dense compute. Data-center power and water concerns can slow projects; governance concerns can depress trust. ⚖️
Technological Fast engineering cycles, rack integration and liquid cooling fit high-density AI workloads. NVIDIA, Dell, HPE, ODMs and cloud in-house designs compete aggressively; component shortages can bottleneck deliveries. ✅

Bull case vs bear case

  • Bull: Blackwell rack deployments ramp, liquid cooling differentiates Supermicro, filings remain current, and internal controls improve without restatements. Revenue growth then outweighs thin margins because working capital normalizes and scale improves purchasing power.
  • Bear: Accounting remediation distracts management, margins fall as larger OEMs compete, customers diversify suppliers, or GPU export/supply constraints delay shipments. A second filing issue would likely dominate any AI demand story.

Catalysts to watch (next 6–12 months)

  1. Next quarterly filings staying timely and any updates on control remediation.
  2. Blackwell and liquid-cooled rack shipment commentary.
  3. Gross margin and inventory turns as AI systems scale.
  4. Customer concentration and accounts-receivable trends.
  5. Competitive pricing from Dell, HPE and ODM partners.

What would change the verdict

  • More constructive: clean filings, improving controls, stable gross margin and clear evidence that liquid cooling wins are converting to cash.
  • More cautious: delayed reports, auditor disputes, inventory write-downs, or signs that AI rack demand is moving to lower-margin competitors.

Generated by analyses/deep-dives/deep_dive.py. Quantitative sections refresh weekly; the qualitative notes carry their own review date.