Biotech iQ (@_Biotech_iQ) profile picture

20+ year biotech investor, tech entrepreneur, and founder @ Biotech iQ. I focus on identifying derisked, high-alpha investing ideas.

Joined April 2024
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Today's update article on $PGEN after VOCERYQ approval. Paywall removed.
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Quick congrats to BiQ members and all other $VSTM longs who held through the volatility and extreme negative sentiment. Verastem has been a core holding in the BiQ portfolio for a while (ACB: $3.66), and while I don't post often on X, VSTM is one of the few names I've posted about in the past. I'm glad to see it's finally getting some much-deserved attention. We're far from the finish line, but the recent data update and successful capital raise add significant derisking to the thesis. There's still a long way to go and a huge valuation gap with $RVMD, but I still think VS-7375 (now TARGET-D) has best-in-class potential in G12D, especially for its combinability with other agents. I look forward to seeing how the data continues to mature.
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Congrats to $NKTR's legal team, and to fellow Nektar longs! $LLY will no doubt appeal the decision, but what's most important to me is that the jury found LLY to be in breach of the good faith covenant. I'm not an attorney, but my personal take is that the decision should give NKTR some much needed leverage towards settling the shared IP issues. Full disclosure: we are long at BiQ (c/b $37.57).
Personally, my take is that the most important outcome for $NKTR is whether or not $LLY was in breach of contract, which would give NKTR leverage around negotiating the shared dosing patents. Any cash award for damages would just be a bonus. I'm not an attorney, so jmtc.
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Personally, my take is that the most important outcome for $NKTR is whether or not $LLY was in breach of contract, which would give NKTR leverage around negotiating the shared dosing patents. Any cash award for damages would just be a bonus. I'm not an attorney, so jmtc.
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$NVDA The new AI Infrastructure fund that NVDA is launching with its institutional partners is quite interesting. My understanding is as follows: * NVDA does not provide any of the $500B in initial capital, which is provided by its institutional partners. No initial cash outlay by NVDA. * NVDA backstops up to 25% of the residual equipment value in the case of a default. The remaining 75% of the liability lives with the financing partners. * All equipment purchased with capital from the fund must follow NVDA reference designs and be certified by NVDA. * These loans can then be packaged up by NVDA's institutional partners and sold as asset-backed securities, recycling the original capital and creating a financing flywheel that continuously drives equipment revenue to NVDA while cementing the dominance of NVDA AI Factory architecture. Hypothetical Example: The fund provides $100M in GPU financing. This generates $100M in revenue for NVDA at 75% margins, meaning around $75M in gross profit. In the case of a default, NVDA is on the hook for a maximum of $25M in net equipment losses, meaning the original value minus the residual value. In a worst-case scenario, this means NVDA is on the hook for up to a maximum of $25M in losses against $75M in gross profit- essentially, the loss comes out of future profit, not NVDA's balance sheet cash. Feel free to correct me if any of this is incorrect, but if this is right, quite a coup by Jensen Huang IMO. Full disclosure: long NVDA at BiQ.
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Very thankful for a great earnings season for the BiQ Active Portfolio. Out of 10 names that have reported so far, 9 have been up after reporting, all by double-digit percentages, and several by over 20%. Only one name has been red by single digits. 🙏 Still another couple of weeks to go with several more names left to report, so I hope I didn't just jinx it... 🤞
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$REPL I opened my position in REPL after the second CRL at under $2. This morning, after going through both the FDA and company briefing documents, I decided to close my position and move to the sidelines. When $URGN was in a similar spot, my read was that the quality of the data supported management's arguments. I doubled down after the AdCom despite the negative vote. It was a risk, but in that case, it worked out. With Replimune, the FDA went far beyond questioning a single-arm trial design: it stated (rightfully so IMO) that REPL's representation to the agency was not true--specifically, Replimune's claim that no biopsy or excision of a lesion remnant resulted in an improved best overall response, and its separate assertion that histology-based reclassification did not apply to this cohort. But an even bigger issue is, does the data answer the right question? Does the data demonstrate that RP1 provides benefit as a systemic therapy? I think the data show clearly that injecting an oncolytic herpes virus into a tumor shrinks that tumor. I don't think that was ever in dispute. Direct oncolysis, needle trauma, injected volume, and local inflammation have already been shown to produce a local effect. But local shrinkage is not the question. The question is whether the response reflects a systemic, disease-modifying effect. A nodule shrinking under the needle does not extend life. That is precisely what happened to Imlygic, which was narrowed after its 2015 advisory committee to local treatment, with a labeled limitation of use stating it had not been shown to improve overall survival or affect visceral metastases. (Incidentally, Imlygic and RP1 share the same founders.) Replimune's evidence for a systemic effect is the lesion-level analysis: among 108 patients with both injected and non-injected measured lesions, response based on non-injected lesions alone was 28.7% against 31.5% for injected lesions. The problem is that injection status was not assigned at baseline and left alone. RP1 was dosed every two weeks for up to eight cycles, capped at 10 mL per visit, and the protocol instructed investigators to inject the largest and then next-largest injectable tumor until the volume ran out or no injectable tumors remained. New tumors were eligible. Different tumors could be injected on different days. There was no minimum lesion size. First, a lesion that starts growing becomes a priority injection target and is thereafter coded as injected. FDA found the dataset captured only whether a lesion was ever or never injected, so a lesion injected later is classified as injected retroactively. Progressing lesions were systematically drained out of the non-injected pool over the course of treatment. Second, the volume cap and the largest-first rule mean small lesions were disproportionately skipped — and small lesions are far more likely to be scored as complete disappearance than large ones. Injection status is therefore endogenous to outcome and cannot be considered an independent variable. The FDA found that 49% of patients the company deemed responders had all of their target lesions injected, and two more had no target lesions at baseline. So over 50% of reported responders had no non-injected target lesion by which to assess systemic activity. Then there is the disease-burden gradient. At a baseline sum of diameters under 20 mm, ORR was 63.2% with a 57.9% complete response rate. Above 150 mm, ORR was 11.8% with no complete responses at all. Every CR in the trial occurred below 100 mm. If RP1 were driving systemic immunity, my view is that the CR rate should not vanish entirely as burden rises. Then there's the contribution-of-components problem that still sits on top of all of this and remains unchanged since the first CRL. There is no RP1 monotherapy arm. Every responder also received nivolumab. In any case, anything can happen--this is biotech after all. But I'm on the sidelines for this one. 🍿
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Well, that didn't age well! $REPL approved. I did pick up a few shares just over $12. If you can't beat 'em, join 'em. ;)
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$GOOG So let's review why the market sold off after earnings: * YoY revenue growth: 24% * YoY operating income growth: 30.4% * YoY operating margin growth: 200 bps * YoY cloud revenue growth: 82% * YoY cloud operating income growth: 211.9% * YoY cloud operating margin growth: 1485 bps The market sold off because: 1. FCF was -5B vs. a balance sheet that holds over $240B in cash & marketable securities (over $120B in net cash). 2. The company will need to temporarily rent 3rd party compute capacity to more quickly monetize its $500B committed revenue backlog. So, FCF was negative, and cloud margins, which just expanded by 1485 bps, might take a short-term hit. In the meantime, shares are currently priced at a FWD P/E of ~16 vs a prior 10-year range of 19 to 53. Full disclosure: We are long GOOG at BiQ.
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$NVDA $AMD $CBRS $QCOM I've been trying to understand why NVDA shares seem to be lagging some of its semiconductor peers despite having superior fundamentals—at least on paper. With power, not chips, likely to be the binding constraint on data center expansion for the foreseeable future, tokens/watt becomes the single most important factor in purchasing decisions. If the newest offerings by competitors like GOOG (which is now selling TPUs to customers), AMD, QCOM, and CBRS (which has now partnered with AMD to improve token performance) can demonstrate competitive tokenomics, the market may be discounting NVDA's market-leading 75% margins. NVDA still has an advantage in terms of codesign across the entire stack, including the CUDA software stack, and even Jensen Huang has admitted in recent presentations that performance differentiation has migrated from the chip to the codesign layer, but the market appears skeptical. While the threat may not be imminent, I think margin erosion is a risk the market is currently pricing in. What may seem counterintuitive about this is that NVDA's margins, which have historically been a strength, may now be perceived as a risk factor. Full disclosure: Long NVDA, CBRS, QCOM, AVGO, and GOOG at BiQ.
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IMO, Truth Social's recently announced plans to sell advanced access to Truth Social posts to large investors for $100K add very significant risks for retail investors in an environment where the White House is using Truth Social as its personal media outlet for first-mover information. While milliseconds may not sound like much, it's more than enough time for algorithms to drive huge trading swings before retail investors can react. If this is allowed to stand, I expect the long-term effect to be very damaging to retail portfolios. Right-leaning media outlets are framing this as a non-issue. Nothing could be further from the "Truth".
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$GOOG We added Google to the BiQ portfolio today. I was hoping for an opportunity to enter, and it looks like the absolutely fabulous Q2 earnings report gave me the selloff I needed. I never expected the price to drop below the 200 dma, but I'll take it. Thank you, Mr. Market. 🙏
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$MDT If you have a one to two year time horizon, Medtronic is looking very underappreciated here. (Full disclosure: I am long at BiQ.)
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$IREN One key benefit of the tie-up with $NVDA is that it is in NVDA's best interests for IREN to succeed. NVDA is staking the reputation of its DSX AI Factory platform on IREN's success, having chosen IREN as its flagship. NVDA wants to prove that its DSX AI Factory architecture can drive dramatic improvements in AI tokenomics (i.e., profits). Basically, at a high level, NVDA is expanding the concept of "extreme co-design" beyond the chip/networking level to the entire data center. I also suspect NVDA will help bring key relationships to IREN (I'm thinking $PLTR). I don't think IREN necessarily needs this to succeed, as I believe that energized AI data center demand will continue to outstrip supply for the foreseeable future, and IREN sits in an attractive position where it still has access to significant uncommitted energization capacity. However, the NVDA relationship adds an additional layer of derisking (IMO). But, as always, I could be wrong. Time will tell.
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