Monday, October 12, 2026

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@StableBread

Fajasy on X

The Pentagon wants every major U.S. military installation to generate its own power. In August 2026, the Army chose five companies for Janus, a program expected to put more than 20 commercial microreactors on military bases. One of the five already builds the reactors for the Navy’s submarines and aircraft carriers, and its stock is down almost 40%. That company is BWX Technologies $BWXT, and even after a 7.6% jump on October 6, the stock is down 38.9% from its $238.42/share peak on April 15. $BWXT didn’t fall alone: → The VanEck Uranium and Nuclear ETF $NLR is down 33.4% from its January high, even after rising 5.5% on October 6. → Curtiss-Wright $CW, which supplies pumps and valves for the same submarines and carriers, is down 30.2% from its July high. So $BWXT got caught in a broader nuclear and defense selloff, but it fell further than both $NLR and $CW after guiding to slower growth in 2027. Meanwhile, $BWXT’s business got stronger: → Guidance up twice: 2026 adjusted EBITDA guidance rose from $645-660M in February to $662-672M in August. → An $8.4B backlog, more than double the $4.0B $BWXT had at the end of 2023. → CEO Rex Geveden calls $BWXT “the sole provider for naval reactors.” The Navy’s 30-year shipbuilding plan, released in May, calls for a new carrier every four years instead of every five. → The Army chose $BWXT’s 20-megawatt reactor for Janus at Fort Campbell, Kentucky, on August 26. On October 5, Prodigy Clean Energy, a Montreal-based developer of factory-built nuclear plants, chose the same reactor for a transportable power plant in New Brunswick. → 2030 targets: $BWXT targeted $5.5-6.0B of revenue and $1.1-1.2B of adjusted EBITDA in 2030. It’s on track to meet or beat all three targets it set in February 2024. Still, here’s what could hold the stock back: → $BWXT expects growth to slow in 2027. Its preliminary framework calls for high-single-digit growth in both revenue and adjusted EBITDA. → Even after the 38.9% drop, $BWXT isn’t cheap in absolute terms. It trades at 20.9x NTM EV/EBITDA and 29.3x earnings. → By CFO Mike Fitzgerald’s count, only a little over half of the revenue growth to 2030 comes from what $BWXT calls its “predictable core,” the programs backed by backlog and long-term contracts. The rest depends on new orders and acquisitions. → $BWXT’s Janus release discloses no dollar figure. Owning reactors is a new business model for $BWXT, with capital commitments it hasn’t disclosed. → No $BWXT insider has bought stock in the open market since at least January 2025, including during the drop from $238 to $135. → The government is running on a continuing resolution through December 11. At $145.70/share, BWXT has a market cap of $13.35B and an EV of $15.0B ($13.35B + $2.05B of debt - $0.40B of cash). It trades at 22.5x 2026 adjusted EBITDA guidance and 30.7x non-GAAP EPS guidance. In return, you get an $8.4B backlog, more than double the $4.0B BWXT had at the end of 2023. And on NTM estimates, its EV/EBITDA has dropped to 20.9x from ~35x in March, back to its 2024 levels. So is the Navy’s reactor supplier on sale, or does the market see a slowdown the numbers don’t show yet? That's what I answer in my new ~6,800 word deep dive on $BWXT! Credit to @GrumpierBTDay for the idea.
@convequity

Convequity on X

$SITM supplies timing devices used in optical modules in NVIDIA-based AI data centers. In an AI data center, a clock exists to keep parts synchronized. Training and inference run across thousands of chips in parallel, and each step depends on data arriving at the right moment. When timing slips, GPUs wait, networks stall, and expensive compute goes unused. The move from 800G to 1.6T optical modules shows how this becomes demand for timing parts. Bandwidth does not simply double. The link is split into more lanes running at higher baud rates. Each lane has a tighter jitter budget, and it often adds clock domains for the DSPs, SerDes groups and laser drivers. So each module carries more timing components, and each component has to meet a higher performance requirement. That pushes average selling prices up alongside unit volumes. The same pattern appears in the switches inside that cluster. A high-radix switch multiplies SerDes lanes as bandwidth scales. When the switch increases radix and speed at the same time, it drives more clock domains across the fabric, the ports, and the control logic. Timing content in the switch therefore multiplies rather than rising in step with the size of the cluster. This is why we see continued hypergrowth for SiTime. In NVIDIA-based data centers, SiTime's parts are discrete devices, separate from the GPU and switch ASICs, allowing timing performance to improve independently as system requirements change, and demand for them rises in several places in the rack at once.

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