kumar saurabh Profile picture
Apr 21 8 tweets 3 min read Twitter logo Read on Twitter
#KMC My 10 min work. Thanks for initiating idea @Coolfundoo as this was not the stock I was mentioning.

Whenever I get new idea, i pass it to some of my in built tools and back of envelope calculation to check if its worth deep diving as we cant go in detail on evert stock
Coming to KMC, it has gone through major asset expansion in last 2 years and at visible potential, it should have Rs 100 Cr of net fixed asset Image
If we look at history, peak net fixed asset turnover has been 2.4 which means, it can do peak sales of Rs 240 cr (say achievable in 3 years from current TTM Rs 147 Cr, thats how usually hospitals scale) Image
Company currently works on 16% PAT margin. Let us assume a peak case and due to economies of scale, does 18% PAT margin at full revenue potential.

Most players trade at 40x PE. So, most optimistic PE, let us give 40x. This turns out to be most optimistic scenario with Rs 240 Cr Image
sales, 18% PAT margin = Rs 42 Cr PAT and 42*40 = Rs 1680 Cr market cap after 3 years, thats 19% CAGR

Now, let us take a pessimistic view. As it is new capex, may not be as efficient as old one (city real estate), so, let us say, it does 2.3x blender NFAT. so, Rs 230 Cr revenue.
Let us say, margin stays at same 16%. Let us say, market values it at 25% lesser than mean PE of 40x which is 30x. Now, we get Rs 230*.16 = Rs 37 Cr PAT and 37*30 = Rs 1110 Cr market cap which means a CAGR of 3.5%. So, reality may be somewhere in between
with 10-13% CAGR. Please note that I have not gone through any business level details and this is an approximate exercise just to test attractiveness.

If you have done any deep dive, please share your views with numbers and logic, that will help every reader.
Please note if you do not have rationale and just giving some random price targets, please avoid as it wastes everyone's time, you will be muted/blocked.

Looking for some serious contribution from those who track closely how they look at things panning our and why so. Thanks

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More from @suru27

Apr 22
#CNXIT History of IT Sector in India: A data-based perspective

In last 1.5 years, we witnessed a heavy price correction in IT sector. This is evident from CNXIT index movement which is 32% down in last 1.5 years (we kept cautioning repeatedly then) Image
Now, sector is also facing headwinds. Typically, this is how market behaves. Market is always ahead of reality. It tops when valuations highlight major froth, smart money slowly exits n new entrants think they know it all, are scapegoats. Companies r lowering their guidance. ImageImage
Within a year, we have come from healthy double digit growth to low to mid single digit growth projection. Question is - Is it something new or there is something to learn from history?
History is an interesting subject and price is the first guide. Lets us look at history
Read 9 tweets
Apr 21
🧵A thread on Scientific Investing YouTube credibility report of last 1 year (important as fin-influencers are termed as stock peddlers on SM).
Link: youtube.com/ScientificInve…

16 stocks n sectors discussed with positive bias since 2022 had a mean return on 24% till today
💡 31% of stocks/sectors discussed have > 50% return till today with mean 77% return

💡 38% of stocks/sectors discussed have >0% return with mean 8% return

💡31% of stocks/sectors discussed < 0% return with mean -8% return
1. Karur Vysya Bank (50 to 100): 100%
2. Neuland Labs (1100 to 2000): 80%
3. City Union Bank (125 to 200 to 125): 0%
4. Aegis Logistic (210 to 390): 80%
5. Jash Engineering (570 to 900 to 830): 70%
6. SJS (410 to 540 to 410): 0%
7. FINO (250 to 210): -17%
Read 10 tweets
Mar 3
We all love @dspmf Netra and Tathya reports and here is latest one: dspim.co/NetMar23

Want to understand these reports in detail and extract best out of them, follow this🧵

At Scientific Investing, we hosted Sahil Kapoor @SahilKapoor from DSP to discuss these reports
and much more including macro, markets, budget, data, inflation, recession, interest rate, demand etc. Here is discussion summary:

💡Reasons Behind Netra and Tathya

👉Track 50 markets daily to monitor outliers & further studying macroeconomic data

👉 Macroeconomics is
at times very subjective and misused with too much focus on forecasting

👉What will impact the market is very important

👉 Tathya is compendium of 50+ indicators divided into 5 macroeconomic sections to understand various parts of economy at times very subjective
Read 34 tweets
Feb 1
#SouthIndianBank Bank101: How security receipts and NPA pool selling transactions with ARCs work. Gold learning for me on the detailing and thanks to Tushar Sarda for asking 1/n

#Q3FY23 #ConcallInsights with Scientific Investing. Give us a shoutout if our work helps🙏
More on same
More..
Read 5 tweets
Jan 31
#SouthIndianBank An interesting personal trivia on South Indian Bank

As added, this at ~Rs 8.4 and get credit from few friends, sharing this trivia. While working as financial consultant in 2013, one of colleague joined from ICICI & his ex-boss was current SIB CEO. 1/n
We did discuss about his experience under previous boss etc. Then, I moved on to another company. In this company, my reporting boss was the one who hired/managed the same gentleman in his previous company. So, I knew someone who reported and someone who managed in terms 2/n
of some discussion over current SIB CEO through these discussions. The day I read, Mr. X joining bank as CEO, those discussions flashed in memory and then, it took almost 8 months of tracking, enquiring further to know about the risks. Further, when the story and charts 3/n
Read 5 tweets
Jan 18
IT CEOs vs Fresher's Salary: Myth vs Reality

If you do not look at data properly, it can hide right things and reveal wrong things. However, looking at data "properly" needs quite some effort which many do not want to do and social media has only worsened this trend of
providing the fastest information (let me bluntly say cut, copy, paste). The current data shared is a prime example of the same. So, let us look at this data. Few observations:
1. Absolute numbers may hide lot of things and there was no focus on metric like CAGR because it would
hide all the sensation.
2. No outlier treatment of the data (look at detailing of Infosys in 2012), that is must when one does this kind of exercise.

3. Salary hike is a performance exercise; however, no attention was given to performance analysis.

So, let me do this exercise
Read 13 tweets

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