$SE Sea Limited earnings thoughts:

Revenue growth came in strong at $2,688M, which is 121.8% YoY and 17.91% QoQ.

1. E-commerce is executing impressively and grew 25% QoQ (on top of a 30% QoQ growth in Q2).

2. Digital entertainment is showing signs of slowing down.

⬇️
E-Commerce
Orders grew to 1,700 million from 1,400 and 1,100 in Q2 and Q1.
GMV came in at 16.8 billion up from 15 and 12.6 in Q2 and Q1.
Both growth rates in Q3 are slightly slower than Q2 but still very strong and particularly impressive compared to other e-commerce players.
Digital Entertainment

- Bookings were flat in Q3 vs Q2 at 1200M. They were 1200 in Q2, 1100 in Q1 and 1000 in Q4 last year.

- Quarterly Active Users and Paying Users grew 0.5% and 1% sequentially compared to the average 8% and 12% in the last three quarters.
Sea Money

- Total Payment volume was $4.6 billion and grew 12% QoQ. In Q2, TPV was $4.1B with 20.6% QoQ. Q1 was $3.4B with 17% QoQ.

- Quarterly Active Users are 39.3 million now, up from 32.7 in Q2 and 26.1 in Q1.
Overall, $SE is executing well but the law of large numbers is starting to show in Digital Entertainment. This will impact profitability. Forrest Li and the management are one of the best all around.

It will be interesting to see how the market reacts to this report.

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More from @Investing_Lion

24 Oct
After an interesting and volatile start to the Q3 earnings season, we can see where valuation multiples stand for technology companies.

This is the consolidated graph with all the companies comparing EV/GP NTM vs estimates of 3-yr revenue growth:
E-Commerce
EV/GP NTM

$AMZN 8.1x
$BABA 7.9x
$SE 37.5x
$MELI 22.9x
$JD 4.9x
$W 6.0x
$SHOP 61.2x
$CPNG 10.7x
$ETSY 16.5x
$PDD 10.2x
$OZON 7.1x
$BIGC 18x
$GLBE 104x
Fintech and Payments
EV/GP NTM

$V 22.4x
$MA 26.4x
$PYPL 18.9x
$SQ 21.8x
$AFRM 137x
$SOFI 20x
$UPST 32.8x
$LSPD 45.4x
$DLO 78.6x
Read 8 tweets
22 Oct
I sold $PINS this week.

I am aware that I may realize I was wrong over time but after thinking hard about it, I made the decision and I want to be transparent about it.

Here is why I made this decision ⬇️
$PINS did not have a great report last quarter.

Financial numbers where good (growth, margins, ARPU) but I did not like management talking about "web users" and "mobile users" to justify the user slow down.

However, I did see some truth in it, so I decided to hold and wait
During the quarter, it became clear that $PINS had decided to make a shift in the business they had built all this years to have an e-commerce experience and presence.

These type of transitions are always hard and require laser focus by management to execute correctly
Read 9 tweets
25 Sep
Sustainability of growth in SaaS: Will they accelerate or slow down in 2022 vs 2021?

Here is the % difference NTM - LTM and overall NTM growth:

$BILL Difference: +51% / NTM growth: 101%
$AI +16% / 36%
$SPLK +13% / 16%
$PCTY +12% / 25%
$PAYC +6% / 24%
$ADSK +4% / 18%
% difference NTM - LTM and overall NTM growth:

$CRM +2% / 23%
$DOCN +2% / 31%
$WDAY +2% / 19%
$ZEN +1% / 27%
$ZUO +1 / 12%
$WKME 0% / 29%
$QLYS 0% / 12%
$BL 0% / 20%
$OKTA -1% / 44%
$APPN -2% / 16%
$BIGC -3% / 36%
$FROG -3% / 34%
$SPT -3% / 31%
$PD -4% / 25%
$PLAN -4% / 25%
% difference NTM - LTM and overall NTM growth:

$NOW -5% / 26%
$PCOR -5% / 23%
$HUBS -6% / 35%
$ADBE -6% / 15%
$TEAM -8% / 21%
$MDB -8% / 32%
$SMAR -9% / 31%
$VEEV -10% / 20%
$NET -14% / 38%
$DDOG -14% / 45%
$ZS -15% / 41%
Read 6 tweets
28 Aug
Now that most companies have reported earnings, 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:
In this other one, I included some companies that I had to exclude in the first graph:
$AFRM
$SNOW
$DLO
$GLBE

The next graphs are grouped by industry.
E-Commerce

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

$AMZN 8.4x / 20.6x
$BABA 6.5x / 12.6
$SE 36.4x
$MELI 24.4x / 123x
$JD 4x / 32x
$W 7.4x / 44x
$SHOP 66x / 266x
$CPNG 10.6x
$ETSY 14.1x / 36.64x
$PDD 9.1x
$OZON 8.1x
$BIGC 21.2x
$GLBE 116x
Read 10 tweets
5 Aug
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.
Read 18 tweets

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