Also note that the total net income for the first nine months of 2020 ($451M) matches almost exactly the increase in A/R balance ($433M). A/R balance is now 1.76B, dwarfing their reported profits of $451M.
1/5
2020 Predictions Report Card
Item 1 - Tesla will lose more money in 2020 than 2019.
❌
I missed this one clearly. Didn't realize that they could recognize three years of credits in a single year, because I was using GAAP. Tesla does not appear to be conforming to GAAP here.
2020 Predictions:
— Dean Sheikh (@DeanSheikh1) January 19, 2020
Tesla will lose more money in 2020 than in 2019.
The Model S will be discontinued.
MY prices will be cut $2K+ after the first batch of suckers make their purchase.
MY SR+ will come out this year to hide lack of growth from the weakest retail investors.
Also note that the total net income for the first nine months of 2020 ($451M) matches almost exactly the increase in A/R balance ($433M). A/R balance is now 1.76B, dwarfing their reported profits of $451M.
✔️❌
They didn't discontinue. They dropped the price $10,000 instead. Combining this will the price cuts in 2019, including free EAP, gross margins for the Model S are now decisively negative. Giving myself partial credit on this one. (:
✔️
Ding ding ding. Prices were cut $3K right after initial backlog was filled.
❌
Missed this one. My best guess is that M3 SR+ are so low, they don't want to offer a similar MY variant.
❌
Again, missed this one. Price cuts had no effect on reported margins and China appears to have been profitable even running at 20% capacity. Other manufacturers need to run at 80% capacity to be profitable. Not Tesla. Magical automotive company.
✔️
That one was a layup of course.
Item 7 - FTC lets Tesla sell robotaxi software.
✔️
Another layup.
Item 8 - Teslas will continue to hit stationary objects
✔️
I'm on a roll. Three in a row.
✔️
Price were cut $5.5K in Germany, and $4.5K in other EU countries.
More from Trading
You May Also Like
Nano Course On Python For Trading
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
