Broadcom's AI Revenue Grew 221% — and It's Still the "Frustrating" AI Laggard

DeepRead Research09-07

① THE FILTER — what we screened out, what we kept

We scanned 40+ analyst actions on AVGO after its Sep 2 Q3 FY2026 print, the results, and the segment filings.

We cut: the "why couldn't it match Nvidia" hand-wringing.
We kept the hard stuff:

  • Q3 FY2026 (reported Sep 2): revenue $$29.59B (+85.5% YoY)**, gross margin 74%, operating margin **54.3%**, net income$$13.09B, EPS $$2.68, **free cash flow$$13.67B. AI revenue $16.7B (+221% YoY), guided to double annually through 2028.

  • Yet the stock fell ~5% — a beat-and-fade like Nvidia/Marvell, and Broadcom has been "a frustrating stretch" (up just ~6% YTD vs. the chip sector's ~60%).

  • Consensus Strong Buy / Moderate Buy (35–49 analysts). Avg target ~$$500–533 (+40–49% upside)**, high *$$600, low $350 (a new street-low from DA Davidson).


📊 BULL vs BEAR — the analyst split

Camp

Count

Share

Bar

🟢 Bullish (Buy)

31

89%

████████▉░

🟡 Neutral (Hold)

4

11%

█▏░░░░░░░░

🔴 Bearish (Sell)

0

0%

░░░░░░░░░░

Post-earnings targets split (Cantor →$$600, BMO $$575 up; DA Davidson →$$350, Truist $$520, TD Cowen →$475 down; UBS downgraded to Hold). The book is bullish (89% Buy) but the reaction shows the "great quarter, high bar" tension. Implied upside to consensus is still ~40%.


② CORE LOGIC — the one-page thesis & the expectation gap

The thesis in one line: Broadcom is the #1 custom-AI-silicon house (ahead of Marvell) — designing the chips for Google, Meta, ByteDance and OpenAI — plus a VMware software cash machine, yet it trades like the AI trade's afterthought.

What the market is really betting on (the expectation gap):

Broadcom's AI business is booming (+221%) and it makes the custom XPUs that hyperscalers use to reduce Nvidia dependence — arguably the best "anti-Nvidia" AI play. But the stock has lagged the whole chip sector all year and fell again on guidance. The expectation gap: bulls see a 40%+ discount to fair value on a company with 54% operating margins and a doubling AI ramp; the market keeps treating it as "not Nvidia." The debate is whether the custom-ASIC + VMware combination finally gets its re-rating.

  • Bull case: Custom AI silicon (Google TPU, Meta MTIA, OpenAI inference chip, ByteDance) is the fastest-growing, stickiest slice of AI compute; VMware adds ~42% high-margin recurring software; 54% operating margins and $13.7B quarterly FCF. At ~20x forward with AI doubling to 2028, the ~40% target upside looks compelling.

  • Bear case: Custom-chip revenue is lumpy and timing-dependent; expectations are elevated; VMware integration/pricing draws scrutiny; and the stock has repeatedly disappointed despite great numbers ("frustrating stretch").

Edge vs. the crowd: Broadcom is the "own the anti-Nvidia trade + software moat" name. Pair it with Marvell (the #2 custom-ASIC house, also faded) and Nvidia (the GPU king that also fell): all three prove that this earnings season, AI hardware's bar is set at "flawless." Broadcom offers the biggest target-vs-price gap of the trio.


③ ACTION SIGNALS — dual watch

A. Catalyst / research window (dates to circle)

  • 🔴 Q4 FY2026 earnings — early December 2026. Watch AI/custom-silicon revenue + the "double through 2028" trajectory.

  • 🟡 New custom-XPU customer wins (OpenAI, Anthropic, others) — the biggest re-rating lever.

  • 🟡 VMware software revenue + margins — the recurring-cash story.

  • 🟢 Nvidia / Marvell results — the AI-silicon competitive reads.

B. Earnings-preview watch (what "good" vs "bad" looks like)

Watch

Good

Warning

AI revenue

Sustains ~triple-digit growth

Guidance disappoints again

Custom-XPU customers

New named wins

Concentration/lumpiness

VMware software

Growing, margin-accretive

Churn/pricing pushback

Operating margin

Holds ~54%

Slips

⚠️ Expectation note: Broadcom keeps posting monster numbers and getting sold — the bar is brutal. Judge it on the custom-ASIC ramp + VMware cash, and recognize the ~40% target gap exists precisely because the market keeps doubting it.


④ VALUE CHAIN & FOCUS NAMES

Upstream / suppliers

  • Fabrication: TSMC; the hyperscalers whose architectures Broadcom turns into silicon

Broadcom's engines

  • 🧩 Custom AI silicon (XPU/ASIC, ~58% semis) — Google TPU, Meta MTIA, OpenAI, ByteDance; the AI growth engine

  • 🌐 Networking / wireless / storage chips — the broad semi franchise

  • 💾 Infrastructure software (~42%)VMware, CA, Symantec; recurring cash

Downstream / customers & competition

  • Customers: Google, Meta, ByteDance, OpenAI, Apple (wireless)

  • Competitors: Nvidia (GPUs), Marvell (custom ASICs)

Focus names to track alongside AVGO

  • Marvell (MRVL): the #2 custom-ASIC rival — same "beat-and-fade" story.

  • Nvidia (NVDA): the GPU king Broadcom's custom chips compete against.

  • Google / Meta / OpenAI: the anchor XPU customers.


Sources (free/public): stockanalysis.com/AVGO · MarketBeat AVGO price targets · Broadcom results coverage · Wikipedia. Figures as reported by sources, as of Sep 7, 2026.
🤖 Auto-compiled by AI from free public information. For research/education only — not investment advice.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

  • Guavaxf3006
    09-10 09:12
    Guavaxf3006
    Like NVDA and MRVL, and also CRWV, AVGO is now in a state where the valuation ramp-up is getting more and more scrutinised. The very real fear is the amount of cash investments to bring the AI theme into real profitability is really way over. Why Jensen Huang and his party of funders are talking up with a promised capitalisation of 0.5 trillion, is they know this. Everything hinges on the operating AI models out there actually turning real profit. So far, no AI business has done this. And the real fear is it seems that the only way to get this profitable is to throw even more money into it. It's like that old joke about some businesses which never see daylights. How do you become a millionaire dealing in these? You first need to be a billionair.
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