Monday, October 26, 2026

@stockgutter Aug 31 1 click

SG on X

$BMRN up premarket on settlement agreement. I continue to like/own. https://t.co/a6WZ9ksaeH

@InvestSpecial Aug 31

Dalius - Special Sits on X

A formal phase-two strategic review is now underway. Transaction comps imply 10–14x EBITDA versus $PBI’s much lower multiple. Greystone’s conservative value is in the mid-$20s versus ~$16.50, with a deal offering further upside.

@InvestSpecial Aug 31

Dalius - Special Sits on X

AI could pressure $DOX revenue, but also lower delivery costs. If the embedded managed-services franchise holds up, modest growth and buybacks could drive attractive returns without a heroic recovery. The key risk is AI savings flowing to customers rather than shareholders.

@InvestSpecial Aug 31

Dalius - Special Sits on X

9/ $PBI pitch by @GreystoneCap Pitney Bowes owns a sticky postage-meter installed base and the only national-scale US presort network. The market still treats it as a terminally declining mailing-equipment business.

@InvestSpecial Aug 31

Dalius - Special Sits on X

8/ $DOX pitch by Rewey Asset Management ~7x FCF for mission-critical telecom software priced like an AI casualty. Roughly two-thirds of Amdocs’ revenue comes from long-term managed services built around proprietary billing and customer-care systems that are risky to replace.

@InvestSpecial Aug 31

Dalius - Special Sits on X

5/ $FOUR pitch by Emeth Value Capital Shift4 is an end-to-end payments platform dominating attractive verticals. It is the #2 US restaurant POS provider, serves ~40% of US hotels and processes payments for 75%+ of professional sports venues.

@convequity Aug 31

Convequity on X

The AI build is moves more aggressively off the balance sheet Convequity’s debt scan across $MSFT $AMZN $GOOGL and $META: what these companies borrow in public is rising slowly. What they have promised to spend later — leases not yet started, equipment orders, contracted compute — is rising much faster. In 2Q26 that gap is the widest in four quarters. Off-book commitments are running toward +316% year-on-year. On-book debt is barely moving. If you only watch headline borrowings, you miss the cycle. MSFT is the clearest case. On-book debt +15% YoY. Off-book commitments +138%. That is why its all-in financing load is about 17x reported borrowings. Microsoft is under pressure from two sides: shareholders who want more AI spend, and shareholders who want less capex and faster returns. The compromise is to slow the capex it puts on its own books and lock in capacity from $IREN, $NBIS and other neo-clouds instead. How that works: IREN or NBIS borrows, builds the site and owns the chips. Microsoft signs a multi-year contract to pay for the capacity. Microsoft does not put the building on its balance sheet. It takes a future bill — rent and service payments that show up later as operating cost. Asset risk moves to the neo-cloud. Payment risk stays with Microsoft. GOOGL looks similar on a multiple and is doing something different. All-in commitments are 10.2x borrowings: $100bn of headline debt, $121bn including leases, $902bn off-book. $811bn of that off-book pile is purchase orders for its own stack — TPUs and the kit around them — not rented neo-cloud sites. On-book +190% YoY. Off-book +836%. That multiple is Google buying the factory, not renting it. META is closer to Google than to Microsoft: on-book +127%, off-book +680%. Some of Meta’s orders are reserved compute from CoreWeave and Nebius, which Meta will expense as it uses the capacity. Most of the pile is still Meta committing to build and buy for itself. AMZN is the most balanced of the four (+59% on-book / +80% off-book). Both lines are rising together. If the cycle breaks, Microsoft is less stuck with buildings and chips it owns. It is more stuck with bills it already signed. Google is more exposed because more of the capital is already spoken for on its own account. If compute gets scarcer, the extra megawatts IREN and NBIS have not yet sold can go to whoever pays more. Microsoft then has to wait or pay up. Because it owns less of the physical stack, it has less spare capacity it can simply switch on — which means higher compute costs and tighter margins. Powerful cycle. Not a broad bubble. The heat is in the promises, not the 10-Q debt line. Full AI Bubble Barometer available at Convequity.

@irbezek Aug 30

Ian Bezek on X

@taobanker So they can reissue them at fire sale prices in the future to avoid bankruptcy. See American Airlines, circa 2015. $AAL https://t.co/mEfrPFACcY