This earnings season the market is adjusting post covid. Seems like we are back to a stock pickers market. One of the important variables to look for is multiple expansion.

The following graph is a comparison of this metric for some companies pre and post pandemic.
To calculate the multiple expansion of each company, I compared the average multiple of every quarter from 2018-2019 vs today, using the following metrics:
- EV/GP
- EV/EBITDA
- EV/FCF

This has some limitations as multiples in 2018-2019 may be considered high or low.
But I wanted to get an estimate of how the pandemic and its consequences have affected valuations.

I used only positive metrics, so if FCF or EBITDA multiples were negative, I excluded those from the average. Gross profit was always used.
This is a consolidated graph of the total performance for the last 3 years of the same companies (or since IPO for new public companies that have less than 3 years of data)
The next graphs are a comparison of multiple expansion vs performance in the last 3 years by industry.

There are some with greater correlation than others, as you will see. I hope you find it interesting.
E-Commerce

Multiple expansion / 3-year performance

$SE 143% / 1923%
$JD 29% / 97%
$SHOP 17% / 996%
$W 13% / 125%
$ETSY 10% / 300%
$AMZN 8% / 84%
$MELI -6% / 357%
$PDD -19% / 368%
$BABA -23% / 11%

These have gone down the past few weeks with earnings.
Fintech and Payments

Multiple expansion / 3-year performance

$LSPD 87% / 492%
$PYPL 86% / 223%
$SQ 69% / 290%
$MA 26% / 86%
$V 23% / 72%
$MELI -6% / 357%
Social Media and Digital Ads

Multiple expansion / 3-year performance

$MGNI 262% / 773%
$TTD 138% / 840%
$ROKU 123% / 804%
$TWTR 81% / 115%
$SNAP 76% / 504%
$GOOGL 25% / 118%
$PINS 15% / 146%
$FB 6% / 102%
Mega Cap

Multiple expansion / 3-year performance

$TSLA 182% / 920%
$AAPL 95% / 192%
$NVDA 69% / 218%
$MSFT 49% / 175%
$GOOGL 25% / 118%
$AMZN 8% / 84%
$BABA -23% / 11%
$NFLX -24% / 51%
$TCEHY -26% / 32%
SAAS

Multiple expansion / 3-year performance

$NET 277% / 567%
$TEAM 108% / 360%
$MDB 92% / 527%
$TWLO 56% / 504%
$VEEV 56% / 328%
$OKTA 51% / 367%
$CRWD 46% / 312%
$NOW 45% / 228%
$ADBE 45% / 147%
$DOCU 35% / 430%
$CRM 17% / 73%
$PD 8% / 7%
$ZM -38% / 546%
Real Estate / Healthcare / Gig Economy / Other

Multiple expansion / 3-year performance

$FVRR 309% / 465%
$UPWK 75% / 144%
$PTON 70% / 379%
$AMD 35% / 542%
$RDFN 24% / 152%
$Z 18% / 88%
$TDOC 0% / 140%

This includes Fiverr pullback today.
Some thoughts:
1. Multiple expansion is influenced by variables such as the change in interest rates, growth, TINA effect, current liquidity in the markets, and other company specific aspects.

Before Covid, the 10-yr rate was around 2.3%. It got as low as 0.52% in August 20.
2. Most of these companies have seen their fundamentals grow and many have been favored by the effects of the pandemic.

However, multiple expansion has played some role in the total performance of most of these companies.
3. This quarter and for the next couple of quarters, many companies face tough comparisons YoY.

The market is forward looking and trying to adjust the valuation and multiples now that growth has slowed compared to last year.
I hope you found this thread useful.

If you did, you might find interesting some of the previous threads I have shared recently. You can see them below.

On this one I shared graphs comparing current EV/GP NTM with projected 3-yr revenue CAGR.

On this other thread, we look at a comparison between Gross Profit and the number of employees to see which companies have the highest GP / Employee ratio.

And finally, this is a personal analysis of my assessment of quality score for many of these companies.

This is the only subjective thread as it is my personal opinion based on factors that are important to me. It may change over time.

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More from @Investing_Lion

24 Jul
I like to compare companies with different metrics. It helps me understand a little better each business. This time, I am sharing the metric Gross Profit / Employee.

Hope you find it interesting 🙂

This is the consolidated graph. The next graphs are grouped by industry 👇
1.E-Commerce

Gross Profit / Employee (FY 2020)

$ETSY $909k
$PDD $712K
$W $248k
$SHOP $234k
$BABA $179k
$GLBE $154K
$CPNG $148k
$BIGC $132k
$MELI $125k
$AMZN $120k
$OZON $100K
$JD $55K
$SE $54K
Fintech and Payments

Gross Profit / Employee (FY 2020)

$COIN $888K
$V $859K
$KPLT $612K
$SQ $499K
$MA $481k
$UPST $475k
$PYPL $431k
$FUTU $282k
$SOFI $279k
$AFTPY $260k
$DLO $198k
$MELI $126k
$LSPD $105k
$AFRM $63k
Read 10 tweets
15 Jul
After a few volatile days, it is a good time to assess where current valuation multiples stand and the estimates of revenue CAGR for the next few years.

This is the consolidated graph with all the companies. The next graphs are grouped by industry.
E-Commerce

EV/GP NTM and EV/EBITDA NTM (for profitable Cos)

$AMZN 9.1x / 23.6x
$BABA 9.2x / 17.5
$SE 37.6x / 152x
$MELI 23x / 202x
$JD 4.7x / 34x
$W 6.7x / 34x
$SHOP 70x / 499x
$CPNG 17x
$ETSY 13x / 33x
$PDD 10x
$OZON 9.6x
$BIGC 26x
$WISH 2.4x
$GLBE 116x
Fintech and Payments

$V 25x / 29x
$MA 31x / 35x
$PYPL 29x / 44x
$SQ 18x / 115x
$AFTPY 37x / 196x
$COIN 9.4x / 21x
$AFRM 90x
$SOFI 11x / 113x
$UPST 15x / 139x
$FUTU 16x
$LSPD 40x
$DLO 85x
$KPLT 6.7x / 53x
Read 8 tweets
28 Jun
The past 6 months I have been working to determine my personal (and biased) quality score for most of the companies on my checklist and others I see on fintwit.

Valuation was not a part of this score. Also, this list is not meant to be a stock recommendation.
In order to assign a quality score, I used standard parameters to score aspects such as:
- Management
- Culture
- Financial Resilience
- Moat
- Competitive landscape
- Potential
- Past performance
- Share dilution
- Risks
I am sharing this list for three reasons:

1. I put a lot of work and hours to this, so I thought that this might be useful for others on fintwit.

2. I benefit so much from investors constantly sharing valuable information in here, that I like to add some value in return.
Read 18 tweets
25 Jun
Struggling with the decision to add between $BABA $AMZN or $JD 🤔
$AMZN
✅ E-commerce tailwinds
✅ AWS Cloud
✅ Ads business
✅ Solid moat with logistics
🔢 Good valuation
⛔ Size/Market Cap
⛔ Jeff Bezos out
⛔ Google and Microsoft Cloud
$BABA
✅ E-commerce tailwinds
✅ AliCloud
✅ Potential Multiple Expansion
✅ Margin Expansion w/Cloud
✅ Higher Growth %
🔢 Cheapest valuation
⛔ China Anti-trust
⛔ Jack Ma
⛔ More E-commerce competition
Read 5 tweets
11 May
After the recent sell off, I just compiled the P/GP for 2022 for core holdings and watchlist:
$FB 8.4x
$SE 23.7x
$PINS 14x
$BABA 10x
$UPST 11.6x
$SQ 19x
$RDFN 12x

@plantmath1 @skaushi @ParrotStock @jablamsky @ArsalaanAli6 @FromValue @PelotonHolder @Soumyazen

👇
Other holdings P/GP 2022:
$TDOC 12x
$TWTR 10.5x
$IPOE / $SOFI 10x
$GDRX 12.7x
$CURI 8x
$SKLZ 10.6x
$EGLX 19x
$OZON 9x
$PTON 6x
$MYO 4x
$ATER 2.2x
$BZUN 1.6x

Multiples are contracting but some seem to have reached fair value to me. Short term, no idea.
Other in watchlist + fintwit favourites.

Price / 2022 GP:
$ROKU 21x
$Z 4.6x
$CPNG 16.5x
$ETSY 11x
$RSI 16.5x
$MELI 20x
$CRWD 20x
$SNOW 75x
$SNAP 23x
$FSLY 16x
$U 23.5x
$SHOP 43x
$TWLO 36x
$ZM 31x
$TTD 20x

@caleb_investTML @Crussian17 @dhaval_kotecha @cperruna @JonahLupton
Read 4 tweets
17 Apr
Just finished watching a great interview with @yliownyc at Capital Allocators. Thank you for bring it to my attention @EugeneNg_VCap.

I wanted to share with you some of the insights and gems that I highlighted from Yen Liow investment strategy and framework:
“I think that time arbitrage is the most powerful weapon you have in markets, on top of skill. It is an amplifier of skill. The cost of high performance is volatility, it is also the provider of it”
“I define the right tail as 5 and 10 periods of 20%+ compounded returns. What I found is that only 14% of securities above $1-billion market cap could do it, and only 3% are able to do it for 10 year rolling periods.”
Read 23 tweets

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