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Dimitry Nakhla | Babylon Capitalยฎ
15 Quality Stocks With >40% Incremental Operating Margins (LTM) ๐ธ
In other words: every $1.00 in ๐๐๐ฐ ๐๐๐ฏ๐๐ง๐ฎ๐ in LTM turned into >$0.40 in ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐ซ๐จ๐๐ข๐ญ
1. $GE 43%
2. $NFLX 47%
3. $LRCX 49%
4. $NVDA 53%
5. $ASML 53%
6. $MCO 55%
7. $MSFT 58%
8. $META 59%
9. $TSM 65%
10. $MA 66%
11. $MU 69%
12. $HWM 69%
13. $FICO 70%
14. $TDG 71%
15. $SPGI 76%
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15 Quality Stocks With >40% Incremental Operating Margins (LTM) ๐ธ
In other words: every $1.00 in ๐๐๐ฐ ๐๐๐ฏ๐๐ง๐ฎ๐ in LTM turned into >$0.40 in ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐ซ๐จ๐๐ข๐ญ
1. $GE 43%
2. $NFLX 47%
3. $LRCX 49%
4. $NVDA 53%
5. $ASML 53%
6. $MCO 55%
7. $MSFT 58%
8. $META 59%
9. $TSM 65%
10. $MA 66%
11. $MU 69%
12. $HWM 69%
13. $FICO 70%
14. $TDG 71%
15. $SPGI 76%
Chris Hohn, founder of TCI, views high incremental margins as one of the strongest signals of a companyโs moat & pricing power๐ธ
Incremental operating margin tells you how much additional operating income a business generates for every additional $1 of revenue.
Hereโs how to calculate it:
Pick two periods (Year 1 โ Year 2)
Year 1 Revenue: $10B
Year 2 Revenue: $12B
ฮ ๐๐ก๐๐ง๐ ๐: $๐๐
Year 1 Operating Income: $2B
Year 2 Operating Income: $3B
ฮ ๐๐ก๐๐ง๐ ๐: $๐๐
๐๐ง๐๐ซ๐๐ฆ๐๐ง๐ญ๐๐ฅ ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐๐ซ๐ ๐ข๐ง = ฮ ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐ง๐๐จ๐ฆ๐ / ฮ ๐๐๐ฏ๐๐ง๐ฎ๐
So: $1B / $2B = 50%
๐๐ฆ๐ข๐ฏ๐ช๐ฏ๐จ: 50 cents of every new $1 of revenue fell to operating profit.
___
Why this matters: High incremental margins usually signal low incremental costs, pricing power, & structural operating leverage โ the traits that allow a great business to compound faster as it scales. Itโs one of the cleanest ways to see whether a companyโs moat is strengthening & efficiently scaling.
Iโve included 4 high-quality stocks with their incremental operating margins since 2021 for further example ๐๐ฝ
$FICO $MSFT $MA $NFLX - Dimitry Nakhla | Babylon Capitalยฎtweet
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God of Prompt
RT @godofprompt: R.I.P basic RAG โ ๏ธ
Graph-enhanced retrieval is the new king.
OpenAI, Anthropic, and Microsoft engineers don't build RAG systems like everyone else.
They build knowledge graphs first.
Here are 7 ways to use graph RAG instead of vector search: https://t.co/2T9q3IaRPB
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RT @godofprompt: R.I.P basic RAG โ ๏ธ
Graph-enhanced retrieval is the new king.
OpenAI, Anthropic, and Microsoft engineers don't build RAG systems like everyone else.
They build knowledge graphs first.
Here are 7 ways to use graph RAG instead of vector search: https://t.co/2T9q3IaRPB
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