Gendell Jeffrey L 13F Portfolio

The biggest single bet this quarter is a fresh Oracle position at 1.14% of the book, a direct statement that he’d rather own mature software cash flows than chase another leg in the most speculative AI semis. Pair that with a 350.0% increase in Apple and a 63.8% bump in Amphenol, and you get the pattern: shift from high-beta chip torque into the infrastructure and platforms that sit on top of it.

On the macro side, he is clearly paying for an extended energy capex cycle. The VanEck Oil Services ETF add (up 65.7% by shares) gives diversified torque to drilling and equipment, while BTU (Peabody) is up 295.5% and Alpha Metallurgical and Core Natural Resources were both increased, consolidating a coal basket that’s still under-earning his cycle view. He’s willing to average in below his own cost in BTU, which is a blunt way of saying the demand story isn’t over.

Finance is the other leg. White Mountains was boosted 56.7% and Assured Guaranty 195.9%, turning niche property-casualty and muni-wrapped credit into a real sleeve. That’s a bet on spread income, reserve conservatism, and long-duration float — credit stress without systemic breakage. Around the edges, he scales UFPI, Goodyear, and Mohawk, signaling confidence that housing, autos, and construction work through rate volatility rather than break under it.

Gendell didn’t run from tech; he rebalanced it. The big trims in AMD (-30.0%), Western Digital (-25.0%), Micron (-7.1%), and Flex (-7.5%) are classic “sell strength” from positions trading hundreds of percent above his cost. Gains in Western Digital and Micron, both showing multi-hundred-percent profit cushions, are being crystallized and redeployed.

Importantly, the IESC trim is cosmetic in percentage terms but huge in dollars, freeing roughly the same capital as the AMD reduction without altering the core bet. That tiny step back from a single-name concentration peak helps finance new Oracle and Littelfuse stakes plus the various energy and insurance adds.

Elsewhere, he sands down some older cyclicals — modest cuts in Corning, Genworth, and Tetra Technologies — not because they broke, but because he now has higher-conviction uses of risk in similar macro lanes. The pattern is clear: fund new cycle and yield plays by clipping chips and legacy industrials that have already paid him handsomely.

On the surface, this is still an industrials story: that bucket is 75.73% of the book versus 79.66% last quarter, and nearly all of that is IESC. But beneath that monolith, the real action is a deliberate build-out of technology, energy, and finance.

Technology has moved from 9.36% to 10.58%, but the mix has shifted meaningfully. He’s rotated away from pure semis and hardware torque (AMD, Western Digital, Micron, Flex all trimmed) toward Apple, Oracle, Amphenol, and ON Semiconductor — the software, connectivity, and power-management backbone of the AI and electronics cycle. That’s a quality-and-duration upgrade, not just more tech beta.

Energy climbs from 3.38% to 4.19% via OIH, BTU, RIG, and coal names, with oilfield services (SLB, Halliburton, Liberty, Nabors) now a real line item. Finance steps up from 1.69% to 2.33% on White Mountains and Assured Guaranty, while consumer cyclicals edge up through Tutor Perini, Champion, Mohawk, Goodyear, and Bluelinx. Health care, biotech ETF exposure (XBI), and telecom (Lumen) remain smaller, tactical satellites rather than thesis drivers.

Put together, the moves read like a macro postcard: Gendell is positioning for a world where real activity and nominal GDP stay firm, capital spending remains elevated, and energy and materials stay structurally tight. The IESC anchor expresses that through electrical and infrastructure build-out; the adds in oil services, coal, and construction- and housing-linked names extend the same theme across the commodity and labor stack.

His tech behavior underscores the same view. Trimming AMD, Micron, and Western Digital to buy Oracle, Apple, Amphenol, and ON is a rotation from “AI lottery tickets” to the toll roads and connectors that get paid on sustained usage, not just hype. If the AI cycle morphs into a long investment wave in data centers, networking, and devices, this book participates with less drawdown risk.

The growing insurance sleeve and credit-sensitive cyclicals suggest he expects choppier markets but no deep credit accident — a steep-ish curve, healthy spreads, and underwriting discipline. For readers, the signal is clear: this isn’t a hedge-fund tourist chasing factor charts; it’s a builder of a concentrated, real-asset-centric portfolio that assumes the post-pandemic regime is structurally more inflationary and capex-heavy than the decade that came before.