CAGR Calculator

CAGR stands for Compound Annual Growth Rate. It is the single most useful metric for evaluating the true performance of any investment over a multi-year period. Unlike simple or absolute returns, CAGR smooths out the volatility of year-to-year fluctuations and gives you a single annualised rate that tells you how fast your investment grew as if it had compounded steadily each year at a constant rate. Every serious investor in India — from a mutual fund analyst to a first-time FD investor — needs to understand CAGR to make sound financial decisions.

The formula is elegantly simple: CAGR = (Ending Value / Beginning Value) raised to the power of (1 / Number of Years) minus 1. For example, if you invested Rs 1,00,000 five years ago and it is now worth Rs 1,80,000, the CAGR is (1,80,000 / 1,00,000)^(1/5) - 1 = 12.47%. This tells you that your investment grew at an equivalent annual rate of 12.47%, even though the actual year-by-year returns may have varied wildly — perhaps 25% one year, -8% the next, and 15% the year after. CAGR presents a clean, comparable number that strips away this noise.

CAGR vs Absolute Return vs Annualised Return: Key Differences

These three metrics are often confused but serve very different analytical purposes. Absolute return is the simplest: it tells you the total percentage gain from start to finish. In the example above, the absolute return is 80% (Rs 80,000 gain on Rs 1,00,000 invested). But this number is misleading when comparing investments over different time periods. An 80% return over 5 years is very different from an 80% return over 10 years — they represent dramatically different annual growth rates.

Simple annualised return divides the absolute return by the number of years: 80% / 5 = 16% per year. But this overstates performance because it ignores the compounding effect. CAGR at 12.47% is lower than the simple annualised 16% because it correctly accounts for compounding: each year's return is earned on the previous year's accumulated total, not just the original investment. This distinction is why financial professionals always use CAGR for multi-year performance comparison — it is the honest, accurate number.

When evaluating mutual funds in India, always compare funds on the same time horizon using CAGR. A fund showing 40% returns in one year may have delivered only 8% CAGR over 5 years if the subsequent years were poor. Conversely, a steady compounder delivering 14% CAGR over 15 years has created extraordinary wealth for investors even without any single spectacular year.

Key CAGR Benchmarks for Indian Investments

Understanding what good CAGR looks like across different asset classes helps you set realistic expectations and evaluate your own portfolio honestly. These are historical figures based on available data through 2025:

• Nifty 50 TRI (15-year): Approximately 13-14% CAGR, making it the gold standard benchmark for large-cap equity funds.
• Nifty Midcap 150 TRI (15-year): Approximately 16-18% CAGR, with significantly higher volatility than large-cap.
• Gold (INR, 20-year): Approximately 10-11% CAGR, driven partly by currency depreciation and global gold prices.
• Public Provident Fund (PPF): 7.1% (current rate), tax-free on maturity — making post-tax CAGR equivalent to 10%+ for those in the 30% tax bracket.
• Bank Fixed Deposits: 6.5-7.5% pre-tax; 4-5% post-tax for those in the 30% bracket — often negative real returns after inflation.
• Residential Real Estate (metro cities, 15-year):Approximately 7-9% CAGR in price appreciation, plus 2-3% rental yield.

How to Use CAGR for Sound Investment Decisions

CAGR is the standard benchmark for comparing mutual fund performance, stock returns, real estate appreciation, and even business revenue growth. When evaluating a mutual fund, look at its 3-year, 5-year, and 10-year trailing CAGR rather than just the latest 1-year return. A fund that delivered a 15% CAGR over 10 years is far more proven than one showing 40% in its first year — past bull market performance is not indicative of consistent fund quality.

Rolling CAGR is an even more robust measure. Instead of looking at trailing returns from a fixed start date, rolling CAGR calculates performance across many overlapping periods. A fund with a high rolling 5-year CAGR on most measurement dates demonstrates consistent performance across different market cycles, not just lucky timing. This is the preferred methodology used by sophisticated investors and SEBI-registered investment advisors in India.

For direct equity investors, CAGR helps evaluate whether a stock has genuinely created wealth or merely recovered from prior losses. A stock at Rs 1,000 that crashed to Rs 400 five years ago and is now at Rs 800 might seem like a 100% gain from the bottom, but its CAGR from your purchase price of Rs 1,000 is negative. CAGR is brutally honest about what actually happened to your money.

When CAGR Is Misleading: Important Limitations

While CAGR is powerful, it has important limitations that every investor must understand. First, CAGR assumes smooth compounding and hides volatility. Two investments might both show a 12% CAGR over 10 years, but one might have fluctuated between -30% and +50% annually while the other stayed between 8% and 16%. The risk profiles are vastly different — the volatile fund would have caused significant anxiety and may have tempted premature exits, even though the eventual CAGR is identical.

Second, CAGR only works for lumpsum investments. If you made multiple investments over time — like SIPs, top-ups, or additional lumpsum purchases — CAGR on the total portfolio is not the right metric. Instead, you need XIRR (Extended Internal Rate of Return), which accounts for the timing of each cash flow. Every rupee you invested at different points in time has a different holding period and thus a different individual return. XIRR captures all of this complexity into a single annualised figure.

Third, CAGR is backward-looking. A fund's 10-year CAGR tells you what happened in the past but does not guarantee future performance. Market conditions, fund management quality, regulatory changes, and economic cycles all influence future returns. Use CAGR as one important input in your decision-making process, not the only criterion. Complement it with quantitative analysis of risk metrics like Sharpe ratio, Sortino ratio, and maximum drawdown.

CAGR in the Indian Tax Context

When using CAGR to plan investments, remember that Indian tax rules significantly affect your post-tax CAGR. For equity mutual funds, LTCG above Rs 1.25 lakh per year is taxed at 12.5%. So a pre-tax equity CAGR of 14% might translate to a post-tax CAGR of approximately 12-13%, depending on the proportion of gains realised each year. For large accumulated portfolios, the tax drag can be more significant as larger redemptions trigger higher LTCG liabilities.

Debt fund gains are taxed at your income slab rate regardless of holding period (post-April 2023 changes), reducing post-tax CAGR by 20-30% of the nominal return for those in higher brackets. Only PPF, SSY (Sukanya Samriddhi Yojana), and some insurance products offer tax-free returns where the stated CAGR equals post-tax CAGR. Factor in taxation when comparing across asset classes for a true apples-to-apples post-tax CAGR comparison, which will often change the investment decision materially.

CAGR vs XIRR: Choosing the Right Metric

The clearest guidance on when to use which metric: use CAGR when you made a single lumpsum investment and want to know the annualised growth rate. Use XIRR whenever there are multiple cash flows at different dates — SIPs, partial redemptions, additional top-ups, dividend reinvestments, or any irregular investments.

In practice, most Indian investors use both: CAGR to evaluate mutual funds on fund factsheets (which always show lumpsum-based trailing CAGR), and XIRR in their personal portfolio trackers (Kuvera, INDmoney, Zerodha Coin) to measure their actual returns accounting for when they personally invested. A fund might show a 15% trailing CAGR, but your personal XIRR on that fund could be 8% if you bought heavily just before a market correction. Both numbers are true — they are answering different questions.