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My Problem With the Valuation of Tata Motors podcast

May 15, 2023

Tata Motors results came out last week.

The company has turned a corner and has come back into profits for the first time after 4 years. Little wonder, the street is happy. The stock has done well in recent weeks and looks all set to continue its good run.

The stock's upmove suggests that there are more investors who want to buy the stock than the ones who want to sell. There are more people positive on the stock than negative.

And you can make that out on the social media and other platforms as well. The commentary around the stock is quite positive.

Well, if u ask me, my process suggests that it is time to exercise caution than be positive on the stock.

Let us find out the reason in the video.

Hello everyone, Rahul Shah here, trying to make investing accessible and profitable for the average investor.Tata Motors results came out last week.

The company has turned a corner and has come back into profits for the first time after 4 years. Little wonder, the street is happy.

The stock has done well in recent weeks and looks all set to continue its good run.The stock's upmove suggests that there are more investors who want to buy the stock than the ones who want to sell. There are more people positive on the stock than negative. And you can make that out on the social media and other platforms as well. The commentary around the stock is quite positive.Well, if u ask me, my process suggests that it is time to exercise caution than be positive on the stock. Yes, that's correct. I may be in a small minority that believes that the risk reward ratio of investing in the stock at the current juncture may not be in favour of the investor.

Now, I may be right or I may be wrong. It is for you to decide.

But let me make a case on why my process tells me that Tata Motors may not be a lucrative opportunity at the current price point.

So here comes. Let me start by highlighting a very important statement made by Charlie Munger, Warren Buffett's partner at recently held Berkshire Hathaway AGM.

We're not so smart but we kind of know where the edge of our smartness is. That is a very important part of practical intelligence.

I will repeat that.

We're not so smart but we kind of know where the edge of our smartness is. That is a very important part of practical intelligence.

I think this is one of the most powerful statements in finance. If you implement this and take this to heart, you can really achieve fabulous long term returns.

I will give you an example of how Warren Buffett used it to earn US$ 3.5 BN from an investment of just 0.5 bn dollars over just five years.

And then I am going to use the same principle to analyse Tata motors and how even you can use it if you want.

So here's the Warren Buffett example.

You see, Warren Buffett's annual report for the year 2003 had an unusual entry. Perhaps for the first time ever, there was a Chinese stock in Warren Buffett's portfolio. And this was no small investment. The world's savviest investor had just spent a whopping US$ 500 m to buy a small stake in PetroChina.

It didn't take long for the motive behind his purchase to be revealed. Buffett helped connect the dots in the Berkshire Hathaway AGM later that year.

When Buffett picked up the annual report of Petrochina, he liked the fact that it controlled 3% of the world's oil production. He also observed that the company earned US$ 12 bn in profits, same as some of the largest companies in the US back then. Therefore, it was evident that he was looking at a very large company.

However, it was the company's valuations and its dividend policy that made him really sit up and take notice.

He couldn't believe his eyes that the stock was trading at a PE multiple of close to 3x. Yes, that's right. One of the world's largest oil and gas companies was trading at a mouth-watering PE of 3x.

But wait, the best is yet to come. Hidden somewhere in the report was a very important disclosure by the management. They laid out a policy where they promised to pay 45% of the profits as dividends. In other words, if the company was earning Rs 100 profits, Rs 45 would be paid out as dividends to shareholders.

Any doubts that Buffett harboured about the attractive valuations of PetroChina vanished into thin air. A 45% dividend payout and a PE multiple of 3x meant that anyone buying the stock was almost guaranteed to earn 15% return on investment in the very first year itself.

Go do the math and you'll realise that the 15% number is correct.

One of the largest oil and gas companies in one of the largest economies of the world was available at a big, fat margin of safety. It didn't seem to matter that Buffett had never looked at a Chinese stock before. It didn't seem to matter that China had a different culture and different policies. And it didn't seem to matter that Buffett had never met the management of Petrochina.

All that mattered was that the downside at a PE multiple of 3x was very limited for a company like Petrochina.

The upside on the other hand was quite significant.

Therefore, although Buffett knew he had a great chance of making good returns in PetroChina, the actual gains may have surprised even him.

He eventually sold Petrochina somewhere in 2007 and pocketed a cool US$ 3.5 bn in profits. Yes, a decision that would have taken him only a couple of hours to make, netted him and his firm a huge windfall. Now, let's get back to Tata Motors.

You see, Tata Motors has posted losses for 4 consecutive years starting from FY19. It last reported a profit in FY18.

In fact, the period between FY12 and FY18 was a golden period for the company. It posted good profit numbers in each of these seven years.

So, let's try and value the company based on profits it earned during this period. I am inclined to assume the average earnings per share of the company for this period as Rs 30 per share. This is because its diluted EPS ranged from Rs 22 per share to Rs 43 per share during this period. You see, Warren Buffett valued PetroChina at a PE multiple of close to 10x.

However, we believe that for a company like Tata Motors, a multiple of around 14x-15x should be considered ideal.

So, here's how a valuation method for Tata Motors would look like: A PE range of 10x-15x.

Now, some basic math is all you need to figure out the price point below which the stock becomes attractive and the price point above which it becomes expensive.

This makes Tata Motors overvalued considering its current share price of more than Rs 500 per share. I know some of you would think this kind of a valuation as ridiculous. A company like Tata Motors, which is innovating so well and which has some ambitious growth plans does not deserve to be valued based on its historical earnings.

It should be valued based on what its future earnings would look like. And it is here that there could be a huge upside.

Now, the point is not whether one should value Tata Motors based on its past or future earnings. The point is whether one is aware of the edge of one's smartness and whether one is valuing the company based on this assessment of smartness.

Here's the Charlie Munger quote that I mentioned at the start again.

We're not so smart but we kind of know where the edge of our smartness is. That is a very important part of practical intelligence.

So, are you smart enough to predict what the profitability of Tata Motors would look like 5-10 years from now? Is that well within the edge of your smartness?

It is certainly not within the edge of my smartness to be honest. It is well outside it. I have very little clue about whether electric vehicles that Tata Motors is so heavily betting on, will take off big time in India. Or in what shape or form Jaguar Land Rover would be few years down the line.

Please note that auto is a very difficult industry. The competition here is intense and winners keep changing. Therefore, to predict that a company's earnings will be materially higher 5-10 years from now is very difficult in my view.

What I can however say with a reasonable amount of confidence is that Tata Motors is certainly capable of achieving an EPS of Rs 30 per share. It has done it in the past and there is a strong chance it may be able to do so in the future.

Now, the full year and the quarterly results of the company were announced last Friday. The company has performed really well and has posted an EPS of Rs 14 per share for the quarter. Does this mean we should extrapolate this number and assume that Tata Motors will earn Rs 56 per share for the full year? Multiplying this by 15x would raise the fair value of the company from Rs 450 to Rs 840 per share and make it a very attractive bet.

However, again it all boils down to whether Rs 56 is even possible for the full year and whether it is sustainable over the long term. Well, my answer would be that I don't know. I am smart enough to know that it is capable of earning Rs 30 - Rs 35 per share and not smart enough to figure out whether it will earn Rs 56 per share going forward.

This is my edge of smartness to be honest. An investor with a similar level of smartness as me may find the risk reward in his favour at or below Rs 300 per share and out of his favour above Rs 500 per share.

And this is precisely what Warren Buffett did. He exited Petrochina as soon as it touched his edge of smartness or his idea of the fair value of the stock. Please note that Petrochina went up another 4x after Buffett sold his stake.

But Buffett preferred booking profits much earlier. Holding on to the stock would have meant stepping outside his circle of competence which he did not want to do.

The same applies for Tata Motors or any other stock for that matter. You need to first figure out your edge of smartness or circle of competence.

It is this edge that will decide how you want to value the stock. As someone has rightly said, the size of your circle of competence does not matter. What matters is knowing its boundaries. An investor with a small circle of competence but a great understanding of its boundaries has a great long term advantage over the one with a huge circle of competence but a poor understanding of its boundaries.

Rahul Shah

Rahul Shah co-head of research at Equitymaster is the editor of (Research Analyst), Editor, Microcap Millionaires, Exponential Profits, Double Income, Midcap Value Alert and Momentum Profits. Rahul has over 20 years of experience in financial markets as an analyst and editor. Rahul first joined Equitymaster as a Research Analyst, fresh out of university in 2003 but left shortly after to pursue his dream job with a Swiss investment bank. However, he quickly became disillusioned working for the 'financial establishment'. He learned first-hand the greedy stereotype of an investment banker is true and became uncomfortable working for a company that put profit above everything else. In 2006, Rahul re-joined Equitymas ter to serve honest, hardworking Indians like his father, who want to take control of their financial future - and not leave it in the hands of greedy money managers. Following the investment principles of Benjamin Graham (the bestselling author of The Intelligent Investor) and Warren Buffet (considered the world's greatest living investor), Rahul has recommended some of the biggest winners in Equitymaster's history.

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