📊TATA ELXSI LIMITED (#TATAELXSI)

🏷Market Cap: 52,550 Cr

🏷One of the World’s leading provider of design and technology services across industries including Automotive, Broadcast & communications and Healthcare

💥Business Analysis

A Thread 🧵

🌁BUSINESS

🏷Part of prestigious TATA Group

🏷Established in 1989, A forward looking IT business

🏷Company earns revenue primarily from providing information technology, engineering design, systems integration & support services, sale of licenses and maintenance of equipment
🌁The company operates in 2 segments

1. Software Development & Services

It is further sub divided into EPD and IDV.

🏷Embedded Product Design (EPD)
🏷Industrial Design & Visualisation (IDV) division

2. System Integration & Support (SIS)
🌁MANAGEMENT

🏷Manoj Raghavan (MD & CEO) : 22 Years of experience (2.42 Yrs tenure)

🏷CEO compensation ($USD 578.96K) is below average for companies of similar size

🏷CEO compensation has increased by more than 20% in the past year
🌁SHAREHOLDING PATTERN

🏷Change in promoter holding (Vs last quarter): -0.21%

🏷Change in FII holding (Vs last quarter): -0.78%

🏷Change in DII holding (Vs last quarter): +0.59%

🏷Change in public holding (Vs last quarter): +0.41%
🌁CONTRIBUTION TO DIFFERENT INDUSTRIES

Company is mainly working for below industries

1. Automotive
2. Broadcast & Communications
3. Healthcare
🌁WELL DIVERSIFIED REVENUE MIX (Q3 FY22)

🏷Geography

Americas: 42.3%, Europe: 32.8%, India: 16.7%, RoW: 8.2%

🏷Segment

Embedded Product Design: 88.9%
Industrial Design & Visualisation: 8.9%
System Integration & Support: 2.2%
🌁Client concentration & Employee Metrics

🏷People addition in Q3 FY22: 414

🏷Employee utilisation rate ~83%

❌Attrition Rate: 18.2% (LTM)
🌁QUARTERLY RESULTS (Q3 FY22)

🏷Sales Growth: 33.2% YoY - Good YoY Sales Growth

🏷Profit: 43.5% YoY - Good YoY Profit Growth

🏷Consistent growth in margins

🏷Strong order book and a healthy deal pipeline

🏷The company is debt free since long
🌁FINANCIALS (5 Year CAGR)

🏷Sales Growth: 11.2%

🏷EBITDA Growth: 16.2%

🏷PAT Growth: 18.9%

🏷ROCE: 42.5% (FY21)

🏷ROE: 30.2%

Working capital days of the company in FY21 stood at ~65 days

Free cash flow per share increased to 62 Rs in FY 21

Overall, Numbers look good.
🌁STRENGTHS

🏷Diversified geographical presence
🏷Established market position
🏷Healthy financial operations
🏷Major contributor to the transformation to Electric Vehicle
🏷Company consistently making profits
🏷Debt free since long
🏷Brokers upgraded recommendation
🌁WEAKNESS

🏷Trading at Premium Valuation
🏷Promoter and FII reduced the holding in Q3 FY22
🏷Good competition from KPIT and LTTS
🏷~88% revenue from one segment, Embedded Product Design
🌁VALUATION

🏷Price to Earnings (PE): 104 (Above it’s median PE 27.6)
🏷Price to book value: 40.7
🏷PEG Ratio: 5.53

Although there is bright growth prospect, at current levels stock is trading at premium valuation (Overvalued).
🌁CHART (Weekly Timeframe)

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.