Monday, November 2, 2026

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BMRN Earnings Review

BioMarin’s Q3 revenue rose 32% to $1.02 billion after the Amicus acquisition, while lower 2026 guidance and $2.8 billion of net debt weighed on earnings.

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@StableBread

Fajasy on X

I compared the 8-K on Quantum’s $QMCO CFO firing to the one on its chief accounting officer’s exit in August. $QMCO terminated William White as CFO on October 9, 2026, effective immediately, eight months after appointing him on February 2, 2026. When I first wrote up $QMCO on May 6, White was its newly appointed CFO, after the seat had been empty since August 2025. The 8-K gives no reason, and I found no press release about the firing on $QMCO’s investor relations site. Instead, the 8-K says $QMCO expects to file its September-quarter 10-Q on time. The filing also says $QMCO expects to meet or exceed its guidance for the quarter, even though it was still “early in its financial closing process.” Chief accounting officer Hiral Patel took over as principal financial officer, so she now signs off on $QMCO’s financial statements with the CEO. Patel only joined $QMCO on September 1, after the company decided on August 11 to replace Laura Nash as chief accounting officer. The 8-K on Nash says there are “no disagreements” between her and the company, but the one on White doesn’t say either way. So within two months, $QMCO replaced both of its top finance officers. $QMCO’s June-quarter 10-Q still reports material weaknesses (the most serious kind of gap in a company’s financial reporting controls) in revenue recognition, inventory, and income taxes. It also says $QMCO “lacked sufficiently qualified staff or resources to perform control activities.” None of the weaknesses has led to a material misstatement, but $QMCO has restated its financial statements before, in May 2024 and again in August 2025. In my May 6 write-up, I listed restatements as a risk that could break the story, and wrote that a third “would be a serious credibility hit.” $QMCO expected to fix one of its three revenue weaknesses, the schedules that set when service revenue is recognized, by the end of the September quarter. Its June-quarter 10-Q was also officially filed on August 11, a day after its 40-day deadline, and its FY2026 10-K needed a notice of late filing in June. So with open material weaknesses, a history of restatements, and a 10-Q filed a day late in August, I’d rather see the September-quarter 10-Q, due November 9, before taking $QMCO at its word.
@convequity 1 click

Convequity on X

Circular AI financing keeps getting bigger. A record $63 billion vehicle, partly supported by Broadcom ($AVGO), will buy Broadcom chips for Anthropic, and it only pays off if enterprises adopt AI beyond coding. The vehicle borrows, buys Broadcom XPU accelerators (custom AI chips) and networking gear, and leases them to Anthropic. Deliveries are expected from 2027. Broadcom guarantees a residual value of $40B+. This is the latest example of the banks, hyperscalers, model labs and chipmakers are frontrunning AI demand they expect to be insatiable. Without faster enterprise adoption, that demand may not arrive, and the financing stays circular. AI has to spread from coding into the rest of the enterprise. Coding can be checked, because code has to compile and pass tests. Other domains need the same verifiability, which means codifying context that lives in employees' heads, or at best across email, Slack, WhatsApp and work-management platforms. Vendors that can codify that context should extract immense value. Palantir ($PLTR) is the closest so far. Palantir's ontology, a structured account of an enterprise's objects, relationships and rules that software can use to check a result, is critical because it is instrumental to verifiability. We think it can make an average Nemotron model state of the art for that enterprise's own work. If the result is good enough, enterprises will use it and achieve sovereign AI. Once that context is codified, enterprises will not want to blindly run closed frontier models on it and give their know-how away. Broader adoption depends on data sovereignty. The shift has been visible since Palantir's Alex Karp warned earlier this year that handing closed frontier labs their data, models and institutional know-how means losing control of the value. The path is intelligence sovereignty plus more verifiability, then greater enterprise adoption, which would justify this frontrunning. It would also benefit Nvidia ($NVDA), which needs enterprise adoption because hyperscalers and model labs are leaning toward custom chips.
@SouthernValue95 1 click

SouthernValue on X

Ramp data shows VC-backed companies are spending 10x more per employee/month on AI vs. PE-owned and other companies. A bearish interpretation could be: token spend is being driven by VC-backed companies, making demand vulnerable to swings in capital cycle. Valid! However, on a longer timeframe, I think this is quite interesting as a leading indicator for the direction of software companies (VC-backed companies are mostly software or service-as-software companies). New companies are being built with a larger ratio of tokens vs. humans. Look at Anthropic itself, which pays 1/6 as much on intelligence as its customers (since it sells tokens marked up at 85% GM): Anthropic is spending ~9x more on compute than human salaries despite having access to tokens at cost. Cash payroll is annualizing ~$2B for a company with ~$60B of run-rate revenue in 1H26. Anthropic employs just 5k people. Wild efficiency in human capital. I suspect that the great software companies of the next decade, both new and incumbent, will insert AI into every aspect of their products so that using them feels like magic, and work happens seamlessly. Building a presentation in Claude feels like magic: I tell it what I want to put on a slide, and it appears like magic. As a user of Ramp, their products feel the same way: I make a purchase, take a picture of a receipt, and the expense is logged into my accounting system appropriately without the need for a human to type into a blank box. I think we will see most software become AI-native or be replaced by software that is. This is a significant opportunity for incumbents and startups alike. And I think this is a huge source of future token spend that will go to $AMZN and $GOOG where most software companies are built (on AWS and GCP) and where AMZN and GOOG are building the platforms for software companies to build AI capabilities into their products with choice around compute and model, embedded safety and governance, and unlimited scale. Amazon CEO @ajassy said on a podcast this week that AI spend is currently a "barbell-shape" with insatiable compute appetite of the AI labs on one side, and corporates using AI for cost savings on the other. In the middle is tokens embedded into "core workloads" which he says is growing but small today, but he thinks in 5 years might be the biggest category of token spend.

Microsoft: The $250 Billion Club

Microsoft’s widening gap between M365 Commercial revenue growth and seat growth eases concerns over Copilot monetization across its 400…

PRIM · long

Primoris Services CORP

Primoris Services, a $5 billion EPC contractor, has fallen about 60% from its peak.

Altria: Dutiful

Altria raised 2026 adjusted EPS guidance to $5.66 to $5.74 and authorized more buybacks, while on! loses share as cigarette margins hold.

When the liquidity does not add up

Arbor Realty Trust’s dividend suspension is presented as creating $60 million of liquidity, raising questions about its ability to meet…

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