Offshore
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Dimitry Nakhla | Babylon Capitalยฎ
On April 10 2024, I shared my analysis on $MSCI suggesting it was overvalued at $542๐ต & a good consideration at $450๐ต
Since that post, $MSCI is down -13.0% & is currently trading for $473๐ต
As I stated in my analysis:
โAs you can see, $MSCI appears to have attractive return potential if we assume >34x earnings, leaving us with no margin of safety
Given the multiple expansion over the last 10 years, deteriorating balance sheet, & a reduction in the growth rate, Iโd demand greater value from $MSCI
Iโd likely get more interested in $MSCI closer to $450๐ต or at ~31x earnings (~16.5% below todays price)โ
#stocks #investing
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๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ."
A sober valuation analysis on $MSCI ๐ง๐ฝโโ๏ธ
โขNTM P/E Ratio: 37.26x
โข10-Year Mean: 34.88x
โขNTM FCF Yield: 2.94%
โข10-Year Mean: 3.39%
As you can see, $MSCI appears to be trading above fair value
Going forward, investors can receive ~7% LESS in earnings per share & ~13% LESS in FCF per share ๐ง ***
Before we get into valuation, letโs take a look at why $MSCI is a good business
BALANCE SHEET๐
โขCash & Short-Term Inv: $457.82M
โขLong-Term Debt: $4.49B
$MSCI has an ok balance sheet, a BBB- S&P Credit Rating, & 6.62x FFO Interest Coverate
RETURN ON CAPITALโ
โข2019: 23.4%
โข2020: 28.6%
โข2021: 26.5%
โข2022: 33.0%
โข2023: 35.2%
RETURN ON EQUITY๐
โข2019: (463.5%)
โข2020: (231.5%)
โข2021: (239.3%)
โข2022: (148.6%)
โข2023: (131.4%)
*ROE negative due to heavy use of debt
$MSCI has strong return metrics, highlighting the financial efficiency of the business
REVENUESโ
โข2013: $0.91B
โข2023: $2.53B
โขCAGR: 10.76%
FREE CASH FLOWโ
โข2013: $280.93M
โข2023: $1.21B
โขCAGR: 15.75%
NORMALIZED EPSโ
โข2013: $2.16
โข2023: $13.52
โขCAGR: 20.13%
SHARE BUYBACKSโ
โข2013 Shares Outstanding: 121.07M
โขLTM Shares Outstanding: 79.84M
By reducing its shares outstanding 34%, $MSCI increased its EPS by 51% (assuming 0 growth)
MARGINSโ
โขLTM Gross Margins: 82.3%
โขLTM Operating Margins: 54.8%
โขLTM Net Income Margins: 45.4%
***NOW TO VALUATION ๐ง
As stated above, investors can expect to receive ~7% LESS in EPS & ~13% LESS in FCF per share
Using Benjamin Grahamโs 2G rule of thumb, $MSCI has to grow earnings at an 18.63% CAGR over the next several years to justify its valuation
Today, analysts anticipate 2024 - 2026 EPS growth over the next few years to be less than the (18.63%) required growth rate:
2024E: $14.89 (10.1% YoY) *FY Dec
2025E: $17.05 (14.5% YoY)
2026E: $19.45 (14.1% YoY)
$MSCI has a great track record of meeting analyst estimates ~2 years out, but letโs assume $MSCI ends 2026 with $19.45 in EPS & see its CAGR potential assuming different multiples
34x P/E: $661.30๐ต โฆ ~8.9% CAGR
32x P/E: $622.40๐ต โฆ ~6.5% CAGR
30x P/E: $583.50๐ต โฆ ~4.0% CAGR
28x P/E: $544.60๐ต โฆ ~1.5% CAGR
As you can see, $MSCI appears to have attractive return potential if we assume >34x earnings, leaving us with no margin of safety
Given the multiple expansion over the last 10 [...]
On April 10 2024, I shared my analysis on $MSCI suggesting it was overvalued at $542๐ต & a good consideration at $450๐ต
Since that post, $MSCI is down -13.0% & is currently trading for $473๐ต
As I stated in my analysis:
โAs you can see, $MSCI appears to have attractive return potential if we assume >34x earnings, leaving us with no margin of safety
Given the multiple expansion over the last 10 years, deteriorating balance sheet, & a reduction in the growth rate, Iโd demand greater value from $MSCI
Iโd likely get more interested in $MSCI closer to $450๐ต or at ~31x earnings (~16.5% below todays price)โ
#stocks #investing
___
๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ."
A sober valuation analysis on $MSCI ๐ง๐ฝโโ๏ธ
โขNTM P/E Ratio: 37.26x
โข10-Year Mean: 34.88x
โขNTM FCF Yield: 2.94%
โข10-Year Mean: 3.39%
As you can see, $MSCI appears to be trading above fair value
Going forward, investors can receive ~7% LESS in earnings per share & ~13% LESS in FCF per share ๐ง ***
Before we get into valuation, letโs take a look at why $MSCI is a good business
BALANCE SHEET๐
โขCash & Short-Term Inv: $457.82M
โขLong-Term Debt: $4.49B
$MSCI has an ok balance sheet, a BBB- S&P Credit Rating, & 6.62x FFO Interest Coverate
RETURN ON CAPITALโ
โข2019: 23.4%
โข2020: 28.6%
โข2021: 26.5%
โข2022: 33.0%
โข2023: 35.2%
RETURN ON EQUITY๐
โข2019: (463.5%)
โข2020: (231.5%)
โข2021: (239.3%)
โข2022: (148.6%)
โข2023: (131.4%)
*ROE negative due to heavy use of debt
$MSCI has strong return metrics, highlighting the financial efficiency of the business
REVENUESโ
โข2013: $0.91B
โข2023: $2.53B
โขCAGR: 10.76%
FREE CASH FLOWโ
โข2013: $280.93M
โข2023: $1.21B
โขCAGR: 15.75%
NORMALIZED EPSโ
โข2013: $2.16
โข2023: $13.52
โขCAGR: 20.13%
SHARE BUYBACKSโ
โข2013 Shares Outstanding: 121.07M
โขLTM Shares Outstanding: 79.84M
By reducing its shares outstanding 34%, $MSCI increased its EPS by 51% (assuming 0 growth)
MARGINSโ
โขLTM Gross Margins: 82.3%
โขLTM Operating Margins: 54.8%
โขLTM Net Income Margins: 45.4%
***NOW TO VALUATION ๐ง
As stated above, investors can expect to receive ~7% LESS in EPS & ~13% LESS in FCF per share
Using Benjamin Grahamโs 2G rule of thumb, $MSCI has to grow earnings at an 18.63% CAGR over the next several years to justify its valuation
Today, analysts anticipate 2024 - 2026 EPS growth over the next few years to be less than the (18.63%) required growth rate:
2024E: $14.89 (10.1% YoY) *FY Dec
2025E: $17.05 (14.5% YoY)
2026E: $19.45 (14.1% YoY)
$MSCI has a great track record of meeting analyst estimates ~2 years out, but letโs assume $MSCI ends 2026 with $19.45 in EPS & see its CAGR potential assuming different multiples
34x P/E: $661.30๐ต โฆ ~8.9% CAGR
32x P/E: $622.40๐ต โฆ ~6.5% CAGR
30x P/E: $583.50๐ต โฆ ~4.0% CAGR
28x P/E: $544.60๐ต โฆ ~1.5% CAGR
As you can see, $MSCI appears to have attractive return potential if we assume >34x earnings, leaving us with no margin of safety
Given the multiple expansion over the last 10 [...]
Offshore
Dimitry Nakhla | Babylon Capitalยฎ On April 10 2024, I shared my analysis on $MSCI suggesting it was overvalued at $542๐ต & a good consideration at $450๐ต Since that post, $MSCI is down -13.0% & is currently trading for $473๐ต As I stated in my analysis: โAsโฆ
years, deteriorating balance sheet, & a reduction in the growth rate, Iโd demand greater value from $MSCI
Iโd likely get more interested in $MSCI closer to $450๐ต or at ~31x earnings (~16.5% below todays price)
#stocks #investing
___
๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ. "- Dimitry Nakhla | Babylon Capitalยฎ
tweet
Iโd likely get more interested in $MSCI closer to $450๐ต or at ~31x earnings (~16.5% below todays price)
#stocks #investing
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๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ. "- Dimitry Nakhla | Babylon Capitalยฎ
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Antonio Linares
Focus on the fundamentals, think long term, do your own research ๐ฏ
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Focus on the fundamentals, think long term, do your own research ๐ฏ
I have now doubled the number of $SPOT shares I own at $97.50/share. - Antonio Linarestweet
X (formerly Twitter)
Antonio Linares (@alc2022) on X
I have now doubled the number of $SPOT shares I own at $97.50/share.
Antonio Linares
This tweet received a fair bit of backlash from at the time established FinX creators and "thinkers".
Where are they now? Thinking?
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This tweet received a fair bit of backlash from at the time established FinX creators and "thinkers".
Where are they now? Thinking?
Why $SPOT is the next $GOOG ๐งต - Antonio Linarestweet
Twitter
Antonio Linares
Why $SPOT is the next $GOOG ๐งต
Brandon Beylo
You either die a hero.
Or live long enough to see yourself become a mining company.
$SQ
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You either die a hero.
Or live long enough to see yourself become a mining company.
$SQ
weโre building a mining rig https://t.co/IKOQHNSHgO - jacktweet
X (formerly Twitter)
jack (@jack) on X
weโre building a mining rig https://t.co/IKOQHNSHgO
Clark Square Capital
Excellent letter from Dave Waters at Alluvial Capital, as always.
https://t.co/DyCvKWtbs9
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Excellent letter from Dave Waters at Alluvial Capital, as always.
https://t.co/DyCvKWtbs9
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Offshore
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Brandon Beylo
Gradually, then all of a sudden.
The Copper Deficit is here.
#copper
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Gradually, then all of a sudden.
The Copper Deficit is here.
#copper
So it begins... #copper https://t.co/1ZFTEIjVT1 - Robert Friedlandtweet
Offshore
Photo
Antonio Linares
$AMD is poised to challenge $NVDA's stronghold in the AI sector for two key reasons:
1. Traditionally, $NVDA has maintained a competitive edge through CUDA, a platform that ensures smooth interactions between developers and $NVDA GPUs.
Yet, the dynamic has shifted with the rise of Pytorch as the leading framework for deep learning (AI), now seamlessly integrating with $AMD GPUs right out of the box.
$AMD has now recently opened up ROCm (its CUDA equivalent) to the open source community.
This integration marks the beginning of the erosion of $NVDA's software stronghold, leveling the competitive landscape.
2. In contrast to $NVDAโs uniform chip design, $AMD employs a chiplet-based architecture.
This progressive strategy has already overturned $INTC's market dominance by offering high-performance chips at reduced costs.
The chiplet design has a unique benefit: if one component fails, it doesnโt compromise the entire chip.
As a result, chiplet architectures typically achieve much higher yields than their monolithic counterparts.
However, adopting chiplet technology implies a shift toward thinner margins, which could negatively affect $NVDA's financial health.
This represents a classic instance of the Innovatorโs Dilemma โ the hesitance of entrenched firms to self-disrupt.
$NVDA has technically already pivoted to chiplets with the launch of the Blackwell architecture, but there are some important considerations.
A thorough analysis of Blackwell's architecture indicates that the chip fundamentally comprises two large chips that are interconnected.
Previously, $NVDA architectures followed a similar pattern.
However, Blackwell marks a new development where for the first time, its two chips function cohesively at both the software and network levels.
Essentially, Blackwell consists of two chiplets, signaling a cautious initial move towards a chiplet-based architecture.
Each of these chiplets, however, are already at the boundaries of the maximum reticle size.
As a result, $NVDA is nearing the physical limitations that make the production of monolithic chips increasingly difficult as we progress to smaller process nodes.
To increase computational capabilities, $NVDA now faces the challenge of either dramatically escalating the complexity within each of the two existing dies or adding more monolithic chips to the Blackwell architecture.
Should $NVDA not completely shift towards $AMD's strategy, there are two potential long-term outcomes:
1. $NVDA maintains its lead by essentially linking more monolithic chips, each at the reticle size limit, akin to a pseudo-chiplet strategy, with $AMD remaining a peripheral contender.
2. This approach may not prove scalable compared to $AMDโs dedicated chiplet architecture, potentially allowing $AMD to capture significant market share at the high end of the spectrum.
What's clear at this stage, however, is that $AMD has a structural advantage to bring AI compute engines with a differentiated price to performance ratio to the market.
Time will tell whether $AMD can prosper on the software side, which is essential for its hardware endeavors to bear fruit. But $AMD is taking the right steps to get there.
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$AMD is poised to challenge $NVDA's stronghold in the AI sector for two key reasons:
1. Traditionally, $NVDA has maintained a competitive edge through CUDA, a platform that ensures smooth interactions between developers and $NVDA GPUs.
Yet, the dynamic has shifted with the rise of Pytorch as the leading framework for deep learning (AI), now seamlessly integrating with $AMD GPUs right out of the box.
$AMD has now recently opened up ROCm (its CUDA equivalent) to the open source community.
This integration marks the beginning of the erosion of $NVDA's software stronghold, leveling the competitive landscape.
2. In contrast to $NVDAโs uniform chip design, $AMD employs a chiplet-based architecture.
This progressive strategy has already overturned $INTC's market dominance by offering high-performance chips at reduced costs.
The chiplet design has a unique benefit: if one component fails, it doesnโt compromise the entire chip.
As a result, chiplet architectures typically achieve much higher yields than their monolithic counterparts.
However, adopting chiplet technology implies a shift toward thinner margins, which could negatively affect $NVDA's financial health.
This represents a classic instance of the Innovatorโs Dilemma โ the hesitance of entrenched firms to self-disrupt.
$NVDA has technically already pivoted to chiplets with the launch of the Blackwell architecture, but there are some important considerations.
A thorough analysis of Blackwell's architecture indicates that the chip fundamentally comprises two large chips that are interconnected.
Previously, $NVDA architectures followed a similar pattern.
However, Blackwell marks a new development where for the first time, its two chips function cohesively at both the software and network levels.
Essentially, Blackwell consists of two chiplets, signaling a cautious initial move towards a chiplet-based architecture.
Each of these chiplets, however, are already at the boundaries of the maximum reticle size.
As a result, $NVDA is nearing the physical limitations that make the production of monolithic chips increasingly difficult as we progress to smaller process nodes.
To increase computational capabilities, $NVDA now faces the challenge of either dramatically escalating the complexity within each of the two existing dies or adding more monolithic chips to the Blackwell architecture.
Should $NVDA not completely shift towards $AMD's strategy, there are two potential long-term outcomes:
1. $NVDA maintains its lead by essentially linking more monolithic chips, each at the reticle size limit, akin to a pseudo-chiplet strategy, with $AMD remaining a peripheral contender.
2. This approach may not prove scalable compared to $AMDโs dedicated chiplet architecture, potentially allowing $AMD to capture significant market share at the high end of the spectrum.
What's clear at this stage, however, is that $AMD has a structural advantage to bring AI compute engines with a differentiated price to performance ratio to the market.
Time will tell whether $AMD can prosper on the software side, which is essential for its hardware endeavors to bear fruit. But $AMD is taking the right steps to get there.
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