is expected to be commissioned in Q3FY22. With the new expanded capacity in the sugar biz, the management is aiming at overall sugar revenues to cross 1000Cr in next 2 to 3 years.
Current Sugar revenues are 496Cr.
According to management, KPRMILL's 4.2Cr pieces garmenting facility is expected to be commissioned by Q2FY22 & fully ramped up by Q2FY23.
At realisation of Rs.150/piece, the facility would generate incremental revenue of
~600Cr, (2.5x Asset turns).
Current revenues are 3500Cr!
is expected to be commissioned in Q3FY22. With the new expanded capacity in the sugar biz, the management is aiming at overall sugar revenues to cross 1000Cr in next 2 to 3 years.
Current Sugar revenues are 496Cr.
ROCE could improve as Garmenting CAPEX can generate 30% ROCE & Ethanol CAPEX 22%.
More from Saket Reddy
HATSUN at 1000. The unseen compounder in this space. People looking at PE went with Parag & Prabhat, whereas this guy has been compounding wealth since the last couple of decades, surely should be doing something right!
On the chart, ABC Breakout on 1% Box Size chart. https://t.co/nHmunGNJ5a
On the chart, ABC Breakout on 1% Box Size chart. https://t.co/nHmunGNJ5a
Don't get shocked by looking at HATSUN.
— Saket Reddy (@saketreddy) December 9, 2020
The stock has gome Ex-Bonus, you get 1 share for every 3 shares held.
Stock is up 10% today after bonus.
Massive wealth creation happening.
Don't be surprised to see it trading above 1000 even after bonus. https://t.co/ztXMGyTdwh
In these kind of stocks, ATH Breakout is usually the best entry.
Don't try bottom fishing and value buying as time correction can take away a lot of opportunity cost.
Just let it give a monthly or weekly close above ATH.
Don't try bottom fishing and value buying as time correction can take away a lot of opportunity cost.
Just let it give a monthly or weekly close above ATH.
ABBOTINDIA
— Saket Reddy (@saketreddy) May 8, 2021
A breakout in the offing? pic.twitter.com/rnpcsQ616a
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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.
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.
