A Busted Businesses or a Cyclical Bottom?
Two U.S. protein-snacking companies lost $6 billion in market value as impairments, inventory growth and margin pressure test whether the category has reached a cyclical bottom.
Two U.S. protein-snacking companies lost $6 billion in market value as impairments, inventory growth and margin pressure test whether the category has reached a cyclical bottom.
Good quarter from $NATL and thesis on track. -The ATMaaS business continues to outperform... 37% y/y growth in Q3... and it's on track to be 40%+ in Q4, well ahead of our expectations -SSB delivered >50% incremental EBITDA margins in Q3, fueling 21% EBITDA growth for the segment
@MGardnerDA1235 @yummyCenturyEgg @dylan55917 $NN has wanted to collaborate with the opposition for ~18 months. They repeatedly talk about how they want "engineer to engineer conversations", but the opposition will not engage. 1 explanation is b/c the opposition knows what the tests will say, but yes real tests are possible
@yummyCenturyEgg @MGardnerDA1235 @dylan55917 4/x) for tolls, why slightly moving part of 2 of the 3 technologies by a few mhz crazy? $NN has said this would cost "tens of millions." no big deal. Not to mention that half of toll reading is already done by camera an AI. Why use limited spectrum when better tech is available? https://t.co/75Yxn4PCu4
@yummyCenturyEgg @MGardnerDA1235 @dylan55917 3/x) beyond the pros view, consider for RFID in Europe they get 6 mhz. Japan 6. China 5. Why does US need 28? why aren't the 11 mhz between $NN's proposed 5 up and 10 down enough? not to mention that NN has already demonstrated they don't interfere with part 15
@yummyCenturyEgg @MGardnerDA1235 @dylan55917 1/x ) $NN it is not me that says the spectrum is considered clean. it is industry pros with decades of experience across engineering and valuation that consider it clean. I am happy to change my mind if you feel your use of ChatGPT should be weighted more heavily than pros.
@yummyCenturyEgg @MGardnerDA1235 @dylan55917 thank you for the work you did on $NN. I can see why you reached the conclusion you did when only looking at the trees you wanted to see. However, industry pros will tell you that the forest is very different, and that this spectrum is likely to be quite valuable. We will see.
How ironic is it that $DAVE, a multi-billion fintech, relies on tips from its payday borrowers for its revenue. Capitalism at its finest!
$RDDT I don't make bold predictions. I'm a conservative doctor but it will likely be the next $META or $GOOG. Look at those companies 8-10 years ago. Very similar fact pattern. Now $RDDT is dominating search w highly valuable AI. +78% rev on tough comp and just getting started.
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