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โ Dimitry Nakhla | Babylon Capitalยฎ
A sober valuation analysis on $ELV ๐Ÿง˜๐Ÿฝโ€โ™‚๏ธ

โ€ขNTM P/E Ratio: 12.90x
โ€ข5-Year Mean: 14.04x

โ€ขNTM FCF Yield: 6.15%
โ€ข5-Year Mean: 6.90%

As you can see, $ELV appears to be trading somewhere near fair value

Going forward, investors can expect to receive ~9% MORE in earnings per share & ~12% LESS in FCF per share๐Ÿง ***

Before we get into valuation, letโ€™s take a look at why $ELV is a quality business

BALANCE SHEETโœ…
โ€ขCash & Equivalents: $6.50B
โ€ขTotal Investments: $37.15B
โ€ขLong-Term Debt: $24.56B

$ELV has a strong balance sheet, an A S&P Credit Rating & 1.94x FFO Interest Coverage Ratio (temporarily lower FFO)

RETURN ON CAPITALโœ…
โ€ข2019: 12.3%
โ€ข2020: 14.7%
โ€ข2021: 14.3%
โ€ข2022: 13.4%
โ€ข2023: 14.7%
โ€ขLTM: 14.1%

RETURN ON EQUITYโœ…
โ€ข2019: 16.0%
โ€ข2020: 14.1%
โ€ข2021: 17.7%
โ€ข2022: 16.3%
โ€ข2023: 15.8%
โ€ขLTM: 16.6%

$ELV has solid return metrics, highlighting the financial efficiency of the business

REVENUESโœ…
โ€ข2013: $71.02B
โ€ข2023: $171.34B
โ€ขCAGR: 9.20%

FREE CASH FLOWโœ…
โ€ข2013: $2.41B
โ€ข2023: $6.77B
โ€ขCAGR: 10.88%

NORMALIZED EPSโœ…
โ€ข2013: $8.52
โ€ข2023: $33.14
โ€ขCAGR: 14.54%

SHARE BUYBACKSโœ…
โ€ข2013 Shares Outstanding: 303.80M
โ€ขLTM Shares Outstanding: 234.95M

By reducing its shares outstanding ~22.6%, $ELV increases its EPS by ~29.1% (assuming 0 growth)

MARGINS๐Ÿ†—
โ€ขLTM Gross Margins: 9.4%
โ€ขLTM Operating Margins: 6.1%
โ€ขLTM Net Income Margins: 3.9%

PAID DIVIDENDSโœ…
โ€ข2013: $1.50
โ€ข2023: $5.92
โ€ขCAGR: 14.71%

***NOW TO VALUATION ๐Ÿง 

As stated above, investors can expect to receive ~9% MORE in EPS & ~12% LESS in FCF per share

Using Benjamin Grahamโ€™s 2G rule of thumb, $ELV has to grow earnings at a 6.45% CAGR over the next several years to justify its valuation

Today, analysts anticipate 2024 - 2026 EPS growth over the next few years to be greater than the (6.45%) required growth rate:

2024E: $37.26 (12.4% YoY) *FY Dec
2025E: $41.70 (11.9% YoY)
2026E: $46.96 (12.6% YoY)

$ELV has a great track record of meeting analyst estimates ~2 years out, so letโ€™s assume $ELV ends 2026 with $46.96 in EPS & see its CAGR potential assuming different multiples

15x P/E: $704.40๐Ÿ’ต โ€ฆ ~17.7% CAGR

14x P/E: $657.44๐Ÿ’ต โ€ฆ ~14.2% CAGR

13x P/E: $610.48๐Ÿ’ต โ€ฆ ~10.5% CAGR

12x P/E: $563.52๐Ÿ’ต โ€ฆ ~6.7% CAGR

As you can see, $ELV has attractive CAGR potential if we assume a >13x multiple (below its 14.04x 5-year mean & below its 14.22x 10-year mean)

More importantly, 13x is MORE than reasonable for a business thatโ€™s growing earnings at a >10% rate & has a strong history of linear earnings growth ( $ELV has increased EPS annually since 2008 ๐ŸŽฏ)

I also like the negative price correlation $ELV can have, relative to tech, in the short-term โ€ฆ adding a layer of safety in a portfolio

In short, $ELV appears to be a worthwhile consideration at $500๐Ÿ’ต (pre-market price)

However, knowing that health insurers often face volatility amid the perception of political risks (among other things), itโ€™s wise to piece in & perhaps add a second tranche at ~$460๐Ÿ’ต

#stocks #investing
___

๐ƒ๐ˆ๐’๐‚๐‹๐Ž๐’๐”๐‘๐„โ€ผ๏ธ: ๐“๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐Ž๐“ ๐ˆ๐ง๐ฏ๐ž๐ฌ๐ญ๐ฆ๐ž๐ง๐ญ ๐€๐๐ฏ๐ข๐œ๐ž. ๐๐š๐›๐ฒ๐ฅ๐จ๐ง ๐‚๐š๐ฉ๐ข๐ญ๐š๐ฅยฎ ๐š๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐ž๐ฉ๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐š๐ญ๐ข๐ฏ๐ž๐ฌ ๐ฆ๐š๐ฒ ๐ก๐š๐ฏ๐ž ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ž ๐ฌ๐ž๐œ๐ฎ๐ซ๐ข๐ญ๐ข๐ž๐ฌ ๐๐ข๐ฌ๐œ๐ฎ๐ฌ๐ฌ๐ž๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐ž๐ž๐ญ.

๐“๐ก๐ž ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐œ๐จ๐ง๐ญ๐š๐ข๐ง๐ž๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐ž๐ž๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐ž๐ง๐๐ž๐ ๐Ÿ๐จ๐ซ ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ž๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐š๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐›๐ž ๐œ๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐ž๐ ๐š๐ฌ ๐ข๐ง๐ฏ๐ž๐ฌ๐ญ๐ฆ๐ž๐ง๐ญ ๐š๐๐ฏ๐ข๐œ๐ž ๐ญ๐จ ๐ฆ๐ž๐ž๐ญ ๐ญ๐ก๐ž ๐ฌ๐ฉ๐ž๐œ๐ข๐Ÿ๐ข๐œ ๐ง๐ž๐ž๐๐ฌ ๐จ๐Ÿ ๐š๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐š๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐š๐ญ๐ข๐จ๐ง. ๐๐š๐ฌ๐ญ ๐ฉ๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ๐š๐ง๐œ๐ž ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐š๐ซ๐š๐ง๐ญ๐ž๐ž ๐จ๐Ÿ ๐Ÿ๐ฎ๐ญ๐ฎ๐ซ๐ž ๐ซ๐ž๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.

๐ˆ๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐œ๐จ๐ง๐ญ๐š๐ข๐ง๐ž๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐ž๐ž๐ญ ๐ก๐š๐ฌ ๐›๐ž๐ž๐ง ๐จ๐›๐ญ๐š๐ข๐ง๐ž๐ ๐Ÿ๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐œ๐ž๐ฌ ๐›๐ž๐ฅ๐ข๐ž๐ฏ๐ž๐ ๐ญ๐จ ๐›๐ž ๐ซ๐ž๐ฅ๐ข๐š๐›๐ฅ๐ž, ๐›๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐š๐ซ๐š๐ง๐ญ๐ž๐ž๐ ๐š๐ฌ ๐ญ๐จ ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž๐ง๐ž๐ฌ๐ฌ ๐จ๐ซ ๐š๐œ๐œ๐ฎ๐ซ๐š๐œ๐ฒ.
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โ Hidden Value Gems
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Value pays off in the end?
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Thesis: Apple's unmatched app ecosystem and upcoming AI capabilities could unlock a new growth cycle, making it a must-watch for investors anticipating major AI-driven revenue boosts.

(Extract from their Q2 letter) https://t.co/i4hwEkU1pz
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Here are 4 ways he said you can beat the market:

1๏ธโƒฃ A Focus on Small Caps. There is less analyst coverage so less information flow. Small caps have more opportunity to find mis-priced stocks.

2๏ธโƒฃ Activist Investing: Can generate alpha but not worth the pain, he says.

3๏ธโƒฃ Special situations: Another less efficient area of the market.

4๏ธโƒฃ Superior knowledge in an industry. This one's my favorite. Anyone can do this one.
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Tesla $TSLA deliveries are out๐Ÿ‘‡
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Tesla $TSLA is reporting quarterly delivery numbers on Tuesday. A quick preview:

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$NVDA https://t.co/droKfObCKT
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RT @RDouady: Thank you, Alex, for posting this paper.
It was an answer to questions from Riskdata's clients on whether to use "normal" or "lognormal" (so-called "market model") models for interest rates.

Quants, especially on the sell-side for option pricing, tend to select models purely on their capabilities: "Do they handle negative rates?" Indeed, the question arose after 2008 crisis, when rates fell to almost 0, and at times, passed the negative barrier. How to price a floor at 0% with a "market model"?

They just forgot that a model is supposed to reflect the reality of some behavior. As such, they must respect certain stylized facts of the statistics of underlying.

The question is not so much "do we allow negative rates". Of course, we have no choice, rates do become negative, and we must be able to price a 0% floor. But then, what happens when they rise back?

It wasn't by chance that lognormal models were called "market model". So, I went on checking the relationship between the level of rates and their volatility to see what the most appropriate model was.

The conclusion is just what we could have expected: for low rates (even slightly negative), a normal model is better, but as soon as they pass a certain level of a few percents on the positive side, the volatility becomes proportional to the rate level (even more so for credit spreads, by the way).

This is why I propose a simple remedy using a shifted zero, i.e. a lognormal model in which the volatility is proportional to the rate + a margin to handle negative rates up to minus the margin.

'The Volatility of Low Rates' - @RDouady (2013, PDF):
https://t.co/uYzm106fOT
- Alex Bilzerian
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โ Librarian Capital
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(link below)
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