After 11% Wipeout, XSD Investors Must Hate Broadcom

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By Austin Smith Published

Quick Read

  • XSD plunged 11% in its worst session in years as its equal-weight design spread losses evenly across all 40 semiconductor holdings.

  • Broadcom's Q3 AI guidance of $16B missed the $17B whisper number, while Marvell, which is XSD's top holding, tumbled 17% on the day.

  • Micron's June 24 earnings will determine whether Friday was a positioning shake or the first signal that AI compute orders are topping out.

  • Don't wait: the analyst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now.

After 11% Wipeout, XSD Investors Must Hate Broadcom

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A $10,000 position in the SPDR S&P Semiconductor ETF (NYSEARCA:XSD) at the close on Thursday was worth roughly $8,873 by Friday’s close, and the people who got there did not own a single share of the stock that supposedly caused it. XSD fell 11.27% on June 5, 2026, dropping from $644.32 to $571.68, its worst single session in years, and the prevailing story (Broadcom guidance disappointed AI bulls) is half right in a way that explains why this fund got hit so much harder than the cap-weighted alternatives sitting next to it on the screen.

The arithmetic of a one-day round trip to last month

Friday’s move erased roughly a month of gains. XSD finished May 6 at $531.93, climbed steadily, and is now back near where it sat in early May. The week told the same story compressed, with the fund off 6.75% from $613.05 the prior Friday. Zoom out and the math still favors the holders. XSD is up 77.86% year to date from $321.42, 146.47% over the trailing year, and 1,199.67% over the past decade from $43.99 in June 2016. None of those numbers shipped to anyone yesterday. What shipped was a drop bigger than the entire one-week reaction to most prior AI scares.

You will hear this called a Broadcom day. Broadcom (NASDAQ:AVGO | AVGO Price Prediction) closed Friday down 7.92%, finishing at $385.73 from $418.91. That is a real move on $1.83 trillion of market cap, but it does not by itself explain an 11% drop in an equal-weight fund where Broadcom is not even a top-ten holding.

Why an equal-weight ETF took the worst of it

XSD weights its roughly 40 semiconductor names close to equally. As of the fund’s most recent published holdings, no single position exceeded 3.06%, with Marvell Technology at 3.06%, Power Integrations at 3.05%, Cirrus Logic at 2.98%, On Semiconductor at 2.91%, and the rest of the top ten clustered between 2.78% and 2.89%. Broadcom is conspicuously absent from that top ten.

Equal weight is a beautiful thing on the way up in a broad rally. It is a much less beautiful thing when the selling is broad. Friday’s tape made that explicit. Marvell Technology (NASDAQ:MRVL), the largest XSD holding, fell 16.74%, from $316.43 to $263.47. Micron Technology (NASDAQ:MU) dropped 13.25%, from $996 to $864.01. Arm Holdings (NASDAQ:ARM) fell 12.84% to $342.93.

Add in the broader basket of analog and design names down high single digits, and you can construct the 11% drop without any one stock doing the heavy lifting. A cap-weighted fund leans on a handful of names. An equal-weight fund collects the bruises evenly. Friday was the kind of session equal weight cannot avoid, because the damage went deep across the entire sector. Memory, design, equipment, and analog all sold off together.

What Broadcom actually said, and what the buy side actually heard

The Broadcom report itself was not bad. Q2 revenue came in at $22.187 billion, up 47.9% year on year, with non-GAAP EPS of $2.44 against a $2.40 estimate. AI semiconductor revenue was $10.8 billion, up 143% year on year and above the company’s own forecast. Q3 guidance called for total revenue near $29.4 billion (up 84% year on year) with AI semi revenue of $16.0 billion, implying over 200% growth. Hock Tan said on the call that Q2 AI bookings exceeded $30 billion against the $10.8 billion shipped, and reaffirmed a full-year FY2026 AI target of $56 billion, with FY2027 AI revenue “in excess of $100 billion”.

On any other tape, this is a celebration. What stung the buy side was the gap between guided AI revenue of $16.0 billion against a whisper closer to $17.2 billion, roughly a 7% shortfall to the number traders had keyed off. The second problem was a Tan aside about Google potentially using multiple chip suppliers, which the market read as a hint that the custom-silicon moat is shareable. The third problem was timing. Friday’s payrolls came in at 172,000 against an 80,000 estimate, sending the two-year Treasury yield to 4.16% and reviving rate-hike fears. A high-multiple sector that had run on the assumption of easier policy got told the opposite on the same morning a marquee AI name guided below the whisper.

You can see the human shape of it in r/wallstreetbets, where a single post titled “wealthsimple exercised AVGO puts after hours. i’m down 1.2 million. is it over” climbed from 1,820 upvotes early Friday to 5,229 by evening. Reddit sentiment on AVGO collapsed from a neutral-to-bullish 63 on Thursday evening to 13 by Friday’s open, the kind of intraday vibe shift that lines up with where the tape went.

What to actually watch from here

The forward question is whether Friday was a positioning event inside an intact capex cycle or the first signal that AI compute orders are topping out. The data that will answer it sits on the upcoming earnings calendar.

Start with Micron. The company reports fiscal Q3 results on Wednesday, June 24, after the close. Memory is the most cyclical link in the AI chain, and Micron’s last quarter (revenue of $13.64 billion, up 56.6% year on year, with cloud memory revenue nearly doubling to $5.28 billion) set a high bar. If Micron guides up again, the “AI hopes crushed” reading of Friday looks like a positioning shake. If Micron guides flat or down, it gets a lot more interesting.

Next, watch equipment commentary on hyperscaler order pipelines. Lam Research’s last print showed revenue of $5.84 billion, up 23.8%, with a June-quarter guide of $6.6 billion, and CEO Tim Archer’s line about AI-driven demand reshaping the industry was a clean tell on capex intent. Equipment orders lead chip shipments by quarters, so any softening in the language is the first place a real slowdown shows up. ASML’s monthly billing data is the same signal at higher frequency.

Finally, watch Broadcom’s customer-specific gigawatt commitments, because that is where the Tan-said-Google-might-multi-source story either resolves or metastasizes. Broadcom disclosed on the call that Anthropic has access to over 1 gigawatt of TPU-based compute in 2026 with another 5 gigawatts starting in 2027, Meta is committed to 3 gigawatts of MTIA XPUs through end of 2028, and OpenAI has a contractual 1.3 gigawatts in 2027 inside a larger 10-gigawatt agreement through 2029. Those are the numbers that need to hold. If they do, Friday will read in hindsight as an expensive equal-weight cleanup in a sector that was priced for a 200% AI growth quarter and got a 200% AI growth quarter plus a footnote.

The honest read is that XSD’s 146% one-year return was built on a narrative where every name in the basket benefits at once, which is a lovely setup until a single Thursday afternoon when the marginal buyer decides the whisper mattered more than the reported result. The fund’s 0.35% expense ratio and equal-weight structure still do what they always did, which is spread you across roughly forty semis instead of betting you on three. On Friday, that was the problem. On the next broad rally, it will be the point. The thing to remember between now and June 24 is that the equal-weight design worked exactly as designed in a tape where everyone sold everything, and the question for the next leg is whether the order books behind the chips look anything like the order books on the screens.

Photo of Austin Smith
About the Author Austin Smith →

Austin Smith is a financial publisher with over two decades of experience in the markets. He spent over a decade at The Motley Fool as a senior editor for Fool.com, portfolio advisor for Millionacres, and launched new brands in the personal finance and real estate investing space.

His work has been featured on Fool.com, NPR, CNBC, USA Today, Yahoo Finance, MSN, AOL, Marketwatch, and many other publications. Today he writes for 24/7 Wall St and covers equities, REITs, and ETFs for readers. He is as an advisor to private companies, and co-hosts The AI Investor Podcast.

When not looking for investment opportunities, he can be found skiing, running, or playing soccer with his children. Learn more about me here.

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