Intrinsic Compounding Profile picture
Nov 9, 2022 29 tweets 7 min read Read on X
I have seen that PE ratio remains a complex subject for a lot of retail investors,

Lets simplify it the SOIC way!

7 Things about PE that no one will tell you about:-

Retweet to educate maximum investors :)

🧵🧵🧵🧵 Image
1. What is the meaning of PE ratio?

PE Ratio is simply calculated as Price upon earning. Which denotes how much price are you willing to pay for 1 Rs of Earning of an asset.

👇👇 Image
Let’s take an example:-

For instance:-

There is a commercial Real estate in Delhi worth Rs 100 and it yields 4%. Basically, Rs 4 of earnings.

Its PE will be= 100/4= 25 times
There is the option of Putting money in Bank FD at 7% rate of interest.

Let’s calculate PE of the BANK FD.

By investing Rs 100 you are making Rs7 of earnings.

Thus, PE=

100/7= 14.3 Times
Commercial Property vs Bank FD

For 1 Rs of earnings you are paying 25times in Real estate and 14.3times in FD. Thus, making Bank FD a superior option vs Commercial Real Estate. Image
2. How is PE ratio calculated for Companies?

PE Ratio for businesses can be simply calculated in two ways:-

1. Market Cap/Net Profit
Take the example of KEI Industries.

Market Cap of KEI= 14,408
Profit After Tax of KEI on TTM Basis= 428 crores

PE Ratio=14,408/428cr=34times
Second way is to Calculate it simply by

Dividing Stock Price by the Earnings per share

KEI’s case= 1600/47.47= 34 times Image
Let’s go to the third most important concept

Difference between

Trailing Twelve Month Pe vs Forward Pe!
When it comes to the TTM concept:

Simply understand this, that in a year there are 4 Q’s:-

Trailing Twelve Month PE=

Market Cap/EPS of last 4 Quarters

Like currently we are in Q2FY23, EPS of Q2FY23+Q1FY23+Q4FY22+Q3FY22 will be used while calculating the PE ratio. Image
**Do not miss this**

I am leaving you with a little homework here:- Suppose if Q1FY23 had Ended, and you had the PAT & EPS of Q1FY23. Which all past Quarters will be used to calculate the Trailing twelve month PE? (Answer below!!)
Forward PE=

Forward PE is simply a concept where one’s estimate of Forward Earnings can be used to Calculate PE ratio.

This is the estimate of future PAT or Future EPS. Remember one can go wrong, but its important to have an idea.
Example over here:-

This chemical company on a TTM basis has a PE of 80 times. On a FY24 expected basis the PE is at 44 times, thinking that the future Earnings will come.

(We will read how forward PE can be important or can fool you in different situations) Image
4. Why can PE be misleading in fast growing companies?

In Fast growing companies, TTM PE might look artificially high as Earnings are expected to grow at a very fast pace.
For example:-

This chemical company did capex of nearly 1400 crores+ to set up a Phenol plant in 2018, which was nearly double the size of its entire Balance sheet.

Before capex was commercialized, PE for for this chemical was at 81 times!!
When Capex started and earnings started growing the PE from 81 times fell to 11 times as the Earnings grew rapidly.

Net Profits went from 79 crores in 2018 to 1000+ crores in 2022. Image
Therefore, future is what matters and always anchor yourself to future multiples. Past is past. Money is always made on future earnings vs past.

Understanding fundamentals becomes very important to understand where EPS is headed for the company.
5. PE can be Misleading in a lot of companies!

What happens when Earnings of a company are structurally challenged or going through a slowdown for multiple years?

Even a cheap PE or a low can be misleading! As Future EPS keeps falling
This is a newspaper stock that had a PE of 10 times in 2019, looks cheap right?

The world changed! Circulation revenues declined and PAT fell from 100 crores to 45 crores! Image
PE remained constant at 8-10 times, yet the stock is down by 55% from there as Earnings degrew.

Thus, PE as a metric won’t capture business quality. That has to be captured by you as an investor.
6. PE and the twin engines of stock returns

A Stock price= PE Ratio*Earnings Per share

A stock can re-rate due to multiple reasons. Some of them are mentioned here:- Image
Suppose,

You buy a company at 10 times Earnings.

Price=Rs.10

EPS=Rs 1

PE=10 times

After 2 years

PE Becomes 20

EPS become=Rs 2

Price=Rs.40

This is what happens when stocks with low expectations or the ones which are under-tracked end up outperforming massively. Image
7. If you buy a stock with High PE, EPS growth has to be fast or continue for really long for stock returns to come

Peak PE (out of whack)+ Peak Margins=Lethal combination and very little margin of safety
Example:-

Look at this Amines co,

Historically the Margins were in a range of 18-22%. Yet, post covid due to stopping of imports and shortage of the chemicals they make. Pricing of the chemicals they make went up by nearly 50-60%. Thereby, leading to an increase in margins.
Just check the margins:- Image
And now look at the PE ratio that the company was trading at vs the average PE it used to get.

This is what we call a stock being at Peak PE+Peak Margins=Lethal combination of Zone of Danger

Remember this!!

Zone of danger and Margin of Safety (Marry margins with PE ratios) Image
In Conclusion,

PE ratio can also be re-written as Perception to Earnings ratio

Perception teaches us about: Liqudity, flows, flavour, out of flavour and interest rates (index valuations)

Earnings: Business' ability to grow earnings due to various triggers!
Therefore, Technical Analysis is the study of Perception

and Fundamental Analysis is the study of earnings and where the earnings can come from.

Next set of videos will teach you both the concepts on our YouTube channel!

youtube.com/c/SOICfinance
Also If you loved the thread,

On coming Sunday we are doing a session on the QSR sector including both Indian and International Companies from

Here is the link to register:- rzp.io/l/8q589nJpm

For SOIC Tribe Members this is a part of the SOIC Membership(inc all webinars) Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Intrinsic Compounding

Intrinsic Compounding Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @soicfinance

Jul 6
In Terminator 2, a T-800 cyborg said “I’ll be back.”

Well, humanoid robots are here – but the time-traveling murder spree seems to be a far -fetched reality. What was once sci-fi is now serious R&D.

Elon Musk even claims Tesla’s new humanoid ‘Optimus’ will be “worth more than the car business”. From lab prototypes to factory floors, 2025 is starting to feel like the dawn of the robot revolution.

So Let’s Dive in 👇

Disclaimer - No, Skynet isn’t online… yet.Image
First let’s clear up the difference between Robots and Humanoids

Robots come in all shapes – factory arms welding cars, Roombas cleaning floors, drones flying overhead.

Humanoids, though, are robots that look and move like us. Think two legs, two arms, hands, and a “brain.” They’re basically androids designed to navigate a world built for humans
Picture Chitti from Robot – that’s a humanoid. A Roomba or an industrial robot arm? Cool, but not humanoid.Image
Image
Image
Why build a humanoid ? Why not just use specialized robots?

In a word: versatility

The human environment is made by and for humans. Our tools, buildings, vehicles – all tuned to a two-handed, upright creature of ~5–6 feet height. A humanoid robot can slip into existing jobs with minimal changes. No need to rebuild factories or redesign every tool. You could literally “drop” a humanoid into a car assembly line and it can use the same air wrench the night-shift human does

In short, humanoids are generalists in a world built for Homo sapiens – a jack-of-all-trades robot, rather than a one-trick Roomba.Image
Read 30 tweets
Jun 30
India’s liquor market looks simple—sell more bottles, bank the cash.

But beneath every peg lies a lot of variables that drives the revenue growth + margin expansion and a re rating cycle in Alcohol Beverage players in India

Here is a 9 block checklist to analyse Alcobev companies in India👇
1. Market & Demand Image
2. Pricing & Mix Image
Read 12 tweets
Jun 25
Did you know? India is home to over 1,700 Global Capability Centres (GCCs) that have evolved far beyond back-office support.

Today, they are innovation hubs where cutting-edge R&D and global product development for many of the world's largest companies happen.

Let's dive deeper into why GCC is on a rise and how world's biggest companies in India are doubling down on this trend in India👇Image
1/n
What is a GCC?

A Global Capability Center (GCC) is an offshore unit set up by a multinational company to manage strategic functions like engineering, R&D, finance, analytics, and cybersecurity directly, not through third-party vendors.

These are not BPOs. They are in-house global hubs.

Think:
--Microsoft India building Copilot features,
--J.P. Morgan India driving AI-based fraud analytics,
--Walmart Global Tech India working on next-gen retail tech.
2/n
The Scale of Growth

India is now home to 1,600+ GCCs, and the number is growing 15–20% year-on-year.

Cities like Bengaluru, Hyderabad, and Pune are hotspots, but Tier-2 cities like Coimbatore and Vizag are rising fast.  Over 1.6 million people are employed in GCCs in India.

Leadership roles alone have grown 30% in just 3 years from 5,000 to over 6,500+
Read 19 tweets
Jun 20
From 10,000 to nearly 1,00,000 smart meter installs per day —

India’s power sector is electrifying at scale. Let’s deep dive into this massive opportunity ⚡🧵👇 Image
1/n
Let's understand what is the TAM for smart meters currently

With approximately 3 crore smart meters already installed, a significant opportunity valued at ₹60,000 crores exists for the remaining 23 crore installations. This substantial gap indicates a vast growth runway for industry participants.

The government's website, nsgm.gov.in/en/sm-stats-all, confirms that 30 million smart meters have been installed, providing a live tracker for the implementation of smart meters across India, which aims for a total of 25 to 30 crore installations. This suggests that the "smart meter story" is actively being executed.Image
2/n
TAM was always huge here but execution was a challenge here due to multiple reasons mainly

> High Upfront Costs: Smart meters and the associated infrastructure require significant capital investment, which made many DISCOMs hesitant. DISCOMs are already loss making and don't have the balance sheet strength to further mass adopt Smart Meter execution , which also resulted as a problem for the Smart meter’s manufacturers and other counter parts involved in the value chain.

> Lack of Clear Policy and Incentives: Earlier, there was limited regulatory push or incentives for rapid deployment.

> Consumer Awareness & Resistance: Many consumers were unaware of benefits or skeptical about new technology. It is often believed that installation of Smart meters will result in increased billing , Charges hence especially during elections the execution will be
slowed down due to political sensitivity and avoid voter backlash .
Read 22 tweets
Jun 16
A single AI query can use up to 10 X more electricity than a regular Google search.

But why does AI consume so much power? And more importantly, how can we, as investors, turn this rising demand into a compelling opportunity?

Let’s break it down 👇 Image
1/n
The AI power shock -

> An AI query, such as one posed to a large language model (LLM) like ChatGPT, consumes approximately 2.9 Watt-hours (Wh), or 0.0029 kWh, of electricity.

> This figure is nearly ten times the 0.3 Wh (0.0003 kWh) required for a traditional Google search. That’s the same electricity a light-bulb needs for ~20 minutes.Multiply by hundreds of millions of daily prompts and you get a brand-new industrial load—born in the cloud.

> Energy experts warn this surge could soon rival the demand of mid-size nations.

> John Hennessy, the chairman of Google's parent company, Alphabet, has publicly stated ( Reuters interview) that an exchange with an AI chatbot is likely to be ten times more energy-intensive than a standard keyword search.

Welcome to the world of AI-led power demand.Image
2/n
A (very) quick rewind -

The intellectual seeds of artificial intelligence were planted in the mid-20th century by pioneers like Alan Turing, who in 1950 posed the question, "can machines think?".The field was formally christened at the Dartmouth Summer Research Project on Artificial Intelligence in 1956, an event that brought together the founding fathers of AI research.

The initial optimism gave way to a period known as the "AI winter" in the 1970s and 1980s, as researchers grossly underestimated the profound difficulty of creating general intelligence, leading to a sharp decline in funding.

The field was revitalized in the 1990s and 2000s by the resurgence of machine learning, fueled by more powerful computer hardware, the availability of immense datasets from the internet, and the application of robust mathematical methods.

The true inflection point for the current AI boom was the development of the "transformer" architecture in 2017, a breakthrough that enabled the creation of highly effective large language models like OpenAI's ChatGPT and catalysed the generative AI frenzy.Image
Read 22 tweets
Jun 13
Did you know?
1 in every 5 iPhones sold globally is now made in India!

But when did this major supply chain shift begin—and how quickly is it accelerating?

Let’s break it down in this thread:
How fast is Apple moving its supply chain to India?👇
#MakeInIndiaImage
1/n
The 20 % milestone

> One in every five iPhones sold worldwide now sports a “Made-in-India” label.

> Bloomberg data show India’s share of global iPhone output hitting 20 % in April 2025, up from ~3 % in FY-22—a six-fold relocation in just three years.

> Because total iPhone volume stayed flat, the entire gain is pure supply-chain migration.

> That shift injected US $10 bn+ of value-add into Indian factories in FY-24 alone and is compounding monthly.

> Analysts following Apple’s purchase orders expect 25-30 % of all iPhones to be India-made by December 2025.Image
2/n
But on first place why it was China that became the iphone factory...

Its first of all is not just low labour cost but high level of integrated economy

> Foxconn’s Zhengzhou campus—dubbed “iPhone City”—opened in 2010 with its own 24-hour customs gate, onsite tax offices and a dedicated cargo airport spur.

> Export rebates, free-trade zones and lightning infrastructure let phones clear to DHL trucks in under an hour.

> At peak season the complex employed 300 k + workers and pumped out 500 000 handsets a day, roughly half of global iPhone output.

Hundreds of satellite plants—glass, screws, speakers—sit within a two-hour truck run, compressing Apple’s product-cycle from months to weeks.

> For a decade no other country matched that density of skills, parts and incentives—until Covid lockdowns and tariff walls rewrote the math.

In simple terms it was both because of scale and largely integrated supply chain network that made iphone manufacturing luring in India

Video credits - Victor Mochere (Youtube)
Read 22 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(