By Joydeep Sen
In relation to tax planning, folks consider Part 80C and different investments. What we’ll focus on now could be completely different; it will provide you with tax profit, not at the moment, however sooner or later. That is within the context of your investments in fairness mutual funds and/or fairness shares. In fairness funds progress possibility / fairness shares, it turns into long run from the tax perspective after a holding interval of 1 12 months. The taxation rule is, in your features you pay tax at 10% plus surcharge and cess as relevant, on features greater than Rs 1 lakh per monetary 12 months. That’s, as much as Rs 1 lakh of long run capital features (LTCG) per 12 months is free from tax; past that you just pay 10%.
The way it works
There’s a means of producing tax effectivity. Since fairness investments are meant for the long run horizon, you successfully keep invested. As and when the value / NAV strikes up, you possibly can promote (i.e. e-book the features) and buy the identical share / MF scheme. How does it assist? It helps to create a better acquisition value to your final taxation, while you promote the funding after an ample interval of holding.
For taxation of fairness, January 31, 2018 is named the ‘grandfathering date’ i.e. costs / NAVs previous to this date are usually not related and value on this date turns into the price of acquisition. Let’s say the value/NAV as on January 31, 2018 was Rs 100 and you’d finally promote it after 10 years when the value can be, say, Rs 200. At that time, you’d pay tax on Rs 200 minus Rs 100 = Rs 100. You’ll pay tax in that monetary 12 months (as per present guidelines), on the features greater than Rs 1 lakh. Allow us to say at the moment, after the rally in equities, value/NAV has moved as much as say Rs 130 as on December 2020. As we speak, for those who promote the share / MF scheme at Rs 130 and buy it once more, so long as the features, i.e., Rs 130 minus Rs 100 = Rs 30 is inside Rs 1 lakh within the monetary 12 months, it’s tax free for you.
Via this transaction, your value of acquisition for tax functions strikes from Rs 100 to Rs 130, which might be related while you finally promote it after one other, say, seven years at Rs 200. At that time, your features might be Rs 200 minus Rs 130 = Rs 70 as a substitute of Rs 100. Let’s say you invested Rs 10 lakh in fairness MFs multiple 12 months in the past and the portfolio worth at the moment is Rs 10,80,000. You’ll be able to redeem the complete portfolio because the features are inside Rs 1 lakh. If the market worth of the portfolio at the moment is, say, Rs 12 lakh, then for executing this technique, it’s important to promote as a lot in order that your features are inside Rs 1 lakh to keep away from tax.
This dialogue assumes you invested within the fund lump sum and exited on a selected date. Nonetheless, you could have invested by way of a Systematic Funding Plan (SIP) and should withdraw by way of a Systematic Withdrawal Plan (SWP). In that case, NAV of your earliest funding might be taken, which known as First In First Out (FIFO). For instance, for those who did an SIP from January 1, 2019 to January 1, 2020 and exit at the moment, the acquisition NAV as on January 1, 2019 might be related after which the subsequent instalment might be thought-about. When you do an SWP from January 1, 2021 onwards, the earliest funding might be thought-about for taxation, for each exit.
Maximising features, minimising tax
The taxation rule is, in your fairness features, you pay tax at 10% plus surcharge and cess as relevant, on features greater than Rs 1 lakh per monetary 12 months
Promote in a market rally as a lot in order that your features are inside Rs 1 lakh to keep away from paying tax and reinvest in the identical shares to extend your acquisition value for remaining sale at a later interval
If in case you have invested by way of a SIP and withdrawn by way of SWP, NAV of your earliest funding might be taken, which known as First In First Out
(The author is a company coach (debt markets) and an writer)