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Dimitry Nakhla | Babylon Capitalยฎ
$AMZN trades at ~$2.17T market cap.
AWS + ADS generated ~$197.36B in LTM revenue โ both segments with 30%+ operating margins.
$AMZN now trades ~11x AWS + ADS sales. https://t.co/VEVgQpOujF
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$AMZN trades at ~$2.17T market cap.
AWS + ADS generated ~$197.36B in LTM revenue โ both segments with 30%+ operating margins.
$AMZN now trades ~11x AWS + ADS sales. https://t.co/VEVgQpOujF
Amazon $AMZN Q4 2025 Report ๐๏ธ
โ
REV: $213.39B (+14% YoY)
โ EPS: $1.95 (+5% YoY)
โ๏ธ AWS $35.79B (+24% YoY)
๐ต ADS $21.31B (+23% YoY)
โ๏ธ AWS growth accelerated for the third consecutive quarter, fastest growth rate in last 13 quarters
๐ฐ FY Operating Income +17% YoY https://t.co/pnjoLFZEYR - Dimitry Nakhla | Babylon Capitalยฎtweet
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The Transcript
Big Tech capex:
$MSFT $GOOG $GOOGL $META $AAPL $AMZN https://t.co/fkuhyHUJcv
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Big Tech capex:
$MSFT $GOOG $GOOGL $META $AAPL $AMZN https://t.co/fkuhyHUJcv
Capex guided up in FY 26:
$AMZN CEO: "We expect to invest about $200B in capex across Amazon in 2026."
$GOOGL CEO: "Our 2026 CapEx investments are anticipated to be in the range of $175 to $185B."
$META CEO: "We anticipate 2026 capex.. to be in the range of $115-135B" - The Transcripttweet
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Fiscal.ai
"With such strong demand for our existing offerings and seminal opportunities like AI, chips, robotics, & low earth orbit satellites, we expect to invest about $200B in CapEx across Amazon in 2026, and anticipate strong long-term return on invested capital.โ
$AMZN https://t.co/hmuOV6mdwJ
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"With such strong demand for our existing offerings and seminal opportunities like AI, chips, robotics, & low earth orbit satellites, we expect to invest about $200B in CapEx across Amazon in 2026, and anticipate strong long-term return on invested capital.โ
$AMZN https://t.co/hmuOV6mdwJ
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The Transcript
Bloom Energy CEO: "Bring-your-own-power has shifted from a slogan to a business necessity for AI hyperscalers and manufacturing facilities. This shift is secular and growing."
$BE: +11% AH https://t.co/vkswJwrO7t
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Bloom Energy CEO: "Bring-your-own-power has shifted from a slogan to a business necessity for AI hyperscalers and manufacturing facilities. This shift is secular and growing."
$BE: +11% AH https://t.co/vkswJwrO7t
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The Transcript
Atlassian CEO: "We had a fantastic Q2. Weโre building a bloody great business. Iโm convinced AI is great for Atlassian. Others think software is dead. In this environment, it seems that noise swamps signal, nuance gets lost."
$TEAM: -9% AH https://t.co/grps5IlRZc
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Atlassian CEO: "We had a fantastic Q2. Weโre building a bloody great business. Iโm convinced AI is great for Atlassian. Others think software is dead. In this environment, it seems that noise swamps signal, nuance gets lost."
$TEAM: -9% AH https://t.co/grps5IlRZc
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The Transcript
Atlassian: "We plan to accelerate the pace of share repurchases in H2 relative to H1....To further underscore their conviction in our massive long-term growth opportunities, the founders will pause their selling plans that have been in place since the IPO" $TEAM https://t.co/P5DsPTbwRW
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Atlassian: "We plan to accelerate the pace of share repurchases in H2 relative to H1....To further underscore their conviction in our massive long-term growth opportunities, the founders will pause their selling plans that have been in place since the IPO" $TEAM https://t.co/P5DsPTbwRW
Atlassian CEO: "We had a fantastic Q2. Weโre building a bloody great business. Iโm convinced AI is great for Atlassian. Others think software is dead. In this environment, it seems that noise swamps signal, nuance gets lost."
$TEAM: -9% AH https://t.co/grps5IlRZc - The Transcripttweet
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The Transcript
Doximity CEO: "Weโre proud to deliver another quarter of strong profits and record engagement."
$DOCS: -33% AH https://t.co/hoWd0Upi8Z
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Doximity CEO: "Weโre proud to deliver another quarter of strong profits and record engagement."
$DOCS: -33% AH https://t.co/hoWd0Upi8Z
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Dimitry Nakhla | Babylon Capitalยฎ
RT @DimitryNakhla: Dev Kantesaria on AI risk as it relates to $FICO $SPGI & $MCO
Dev frames these businesses not as pure โprediction engines,โ but as fill collectors embedded inside the financial systems:
โAs it relates to displacement of things like $FICO scores, $MCO ratings, and $SPGI ratings โ theyโre toll collectors in these industriesโฆ ๐ ๐๐ค๐ฃโ๐ฉ ๐จ๐๐ ๐๐ฃ๐ฎ ๐๐๐จ๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ simply because thereโs an AI model that can calculate the credit decision five percentage points better. ๐๐ฉโ๐จ ๐ฃ๐ค๐ฉ ๐๐ช๐จ๐ฉ ๐๐๐ค๐ช๐ฉ ๐ฉ๐๐ ๐ฅ๐ง๐๐๐๐๐ฉ๐๐ค๐ฃ๐จ โ ๐ฉ๐๐๐ง๐โ๐จ ๐ ๐ฃ๐๐ฉ๐ฌ๐ค๐ง๐ ๐๐๐๐๐๐ฉ ๐๐ฃ๐ ๐ ๐ซ๐๐ก๐ช๐ ๐ฉ๐ค ๐ฉ๐๐ค๐จ๐ ๐ง๐๐ฉ๐๐ฃ๐๐จ ๐ฉ๐๐๐ฉ ๐๐ค๐๐จ ๐๐๐ง ๐๐๐ฎ๐ค๐ฃ๐ ๐ฉ๐๐๐ฉ.โ
___
These platforms benefit from:
โข Deep network effects
โข Regulatory & institutional embedment
โข Industry standardization
โข Decades of historical continuity
A bank doesnโt use $FICO simply because itโs the best mathematical model.
It uses $FICO because itโs the common language of credit โ across underwriting, portfolio monitoring, M&A, and securitization.
Likewise, debt markets donโt rely on $SPGI or $MCO solely for accuracy.
They rely on them because their ratings are recognized, trusted, and priced into capital markets globally.
Dev makes an important point:
Even if someone offered a โbetterโ rating for free, issuers would still face higher borrowing costs ๐ช๐ง the market doesnโt recognize that rating as equivalent.
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Video: Grants Interest Rate Observer | Growth and Profitability (11/20/2024)
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RT @DimitryNakhla: Dev Kantesaria on AI risk as it relates to $FICO $SPGI & $MCO
Dev frames these businesses not as pure โprediction engines,โ but as fill collectors embedded inside the financial systems:
โAs it relates to displacement of things like $FICO scores, $MCO ratings, and $SPGI ratings โ theyโre toll collectors in these industriesโฆ ๐ ๐๐ค๐ฃโ๐ฉ ๐จ๐๐ ๐๐ฃ๐ฎ ๐๐๐จ๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ simply because thereโs an AI model that can calculate the credit decision five percentage points better. ๐๐ฉโ๐จ ๐ฃ๐ค๐ฉ ๐๐ช๐จ๐ฉ ๐๐๐ค๐ช๐ฉ ๐ฉ๐๐ ๐ฅ๐ง๐๐๐๐๐ฉ๐๐ค๐ฃ๐จ โ ๐ฉ๐๐๐ง๐โ๐จ ๐ ๐ฃ๐๐ฉ๐ฌ๐ค๐ง๐ ๐๐๐๐๐๐ฉ ๐๐ฃ๐ ๐ ๐ซ๐๐ก๐ช๐ ๐ฉ๐ค ๐ฉ๐๐ค๐จ๐ ๐ง๐๐ฉ๐๐ฃ๐๐จ ๐ฉ๐๐๐ฉ ๐๐ค๐๐จ ๐๐๐ง ๐๐๐ฎ๐ค๐ฃ๐ ๐ฉ๐๐๐ฉ.โ
___
These platforms benefit from:
โข Deep network effects
โข Regulatory & institutional embedment
โข Industry standardization
โข Decades of historical continuity
A bank doesnโt use $FICO simply because itโs the best mathematical model.
It uses $FICO because itโs the common language of credit โ across underwriting, portfolio monitoring, M&A, and securitization.
Likewise, debt markets donโt rely on $SPGI or $MCO solely for accuracy.
They rely on them because their ratings are recognized, trusted, and priced into capital markets globally.
Dev makes an important point:
Even if someone offered a โbetterโ rating for free, issuers would still face higher borrowing costs ๐ช๐ง the market doesnโt recognize that rating as equivalent.
___
Video: Grants Interest Rate Observer | Growth and Profitability (11/20/2024)
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