Retirement Planning
· Last reviewed July 2026Calculate your retirement corpus for India. Based on your current age, retirement age, monthly expenses, and expected returns — find out how much to save and your monthly SIP needed.
Corpus Needed at Retirement
₹1.0 Cr
Sustains for 25 years at ₹80,000/mo
Savings at Retirement
₹3.0 Cr
Shortfall
₹0
Get this calculated on your actual portfolio
Your retirement gap is already calculated in FundSageAI once you upload your CAS — see your projected corpus vs target with real portfolio data.
The Retirement Corpus Calculator helps Indian investors determine: (1) how large a corpus they need at retirement, and (2) how much they need to invest monthly via SIP to reach that target. It takes into account your current age, target retirement age, life expectancy, expected monthly expenses at retirement, and post-retirement investment return. The corpus calculation uses the SWP (Systematic Withdrawal Plan) present value formula — the corpus must be large enough that monthly withdrawals during retirement (for 25–30 years) draw it down to zero exactly at life expectancy.
Enter your Current Age, Retirement Age, and Life Expectancy (typically 80–85 for India planning).
Enter your Monthly Expenses at Retirement in today's rupees — the calculator uses this to size the corpus.
Enter Current Savings and your expected pre-retirement and post-retirement return rates.
Read: Corpus Needed, Savings at Retirement, Shortfall, and Monthly SIP required to close the gap.
Corpus Needed = Monthly Withdrawal × (1 - (1+r)^(-n)) / r Where: - r = Post-retirement monthly return (Return% / 12 / 100) - n = Retirement months (Life Expectancy - Retirement Age) × 12 SIP to Close Gap = Shortfall × r / ((1+r)^N - 1) / (1+r) N = Months to retirement
Age: 30 | Retire at: 60 | Live to: 85 Monthly expenses at 60: ₹80,000 Post-retirement return: 8% Corpus Needed: ₹1.07 Crore Current savings ₹10 lakh grow to ₹1.74 Cr by 60 No shortfall — but if savings = ₹0, SIP needed = ₹2,800/month at 12%
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Upload your CAMS or KFintech CAS statement to get real XIRR, true corpus values, actual fund overlap, and personalised insights — all pre-filled with your data.