Published on: 02 Feb, 2026 08:05

As of 30 January, 2026, the Nifty 50 returns are:

  • 1 year Return of NIFTY 50 7.71%

  • 3 year Return of NIFTY 50 12.76%

  • 5 year Return of NIFTY 50 13.18%

  • 7 year Return of NIFTY 50 12.9%

  • 10 year Return of NIFTY 50 12.84%

  • 15 year Return of NIFTY 50 10.71%

  • 20 year Return of NIFTY 50 11.25%

  • 25 year Return of NIFTY 50 12.37%

 

Introduction

This analysis dissects the historical performance of India's benchmark NIFTY 50 index across a spectrum of investment durations, ranging from one year to thirty years. The core objective is to evaluate the critical relationship between an investor's time horizon, the volatility of returns, and the probability of achieving positive outcomes. By examining historical data, this report aims to provide actionable insights for investors and financial analysts seeking to understand the risk and reward profile of the Indian equity market. All data presented is based on historical performance, with returns and Compound Annual Growth Rates (CAGRs) calculated as of December 31st for each respective year. We begin by exploring the market's behavior over the shortest, and most volatile, timeframes.

As of 30 January, 2026, the Nifty 50 returns are:

  • 1 year Return of NIFTY 50 7.71%

  • 3 year Return of NIFTY 50 12.76%

  • 5 year Return of NIFTY 50 13.18%

  • 7 year Return of NIFTY 50 12.9%

  • 10 year Return of NIFTY 50 12.84%

  • 15 year Return of NIFTY 50 10.71%

  • 20 year Return of NIFTY 50 11.25%

  • 25 year Return of NIFTY 50 12.37%

  • 30 year Return of NIFTY 50 11.99%

  • 35 year Return of NIFTY 50 13.36%

NIFTY 50 Returns Since 1991
Date 1Y Return 3Y 5Y  7Y  10Y  15Y  20Y  25Y  30Y  35Y 
30-01-2026 7.71 12.76 13.18 12.9 12.84 10.71 11.25 12.37 11.99 13.36
31-01-2025 8.21 10.68 14.47 11.42 10.31 11.05 12.95 11.5 10.84  
31-01-2024 23.01 16.8 14.94 14.23 13.56 14.43 13.23 13.26 10  
31-01-2023 1.86 13.87 9.88 12.88 11.34 8.58 15.2 12.34 10.93  
31-01-2022 27.18 16.98 15.16 10.16 12.8 10.12 14.91 12.21 11.37  
29-01-2021 13.98 7.33 12.51 12.2 9.49 10.62 12.17 11.75 13.39  
31-01-2020 10.44 11.8 6.31 10.27 9.38 12.45 10.77 10.13    
31-01-2019 -1.78 12.71 12.21 11.05 14.18 12.67 12.84 9.03    
31-01-2018 28.81 7.78 12.81 10.43 7.94 17.03 12.96 11.15    
31-01-2017 13.19 12.03 10.49 8.35 7.69 14.83 11.49 10.63    
29-01-2016 -14.14 7.82 6.56 14.82 9.68 12.05 11.56 13.57    
30-01-2015 44.66 19.21 12.53 8.01 15.65 12.3 11.11      
31-01-2014 0.91 3.42 16.2 5.88 12.9 13.06 8.25      
31-01-2013 16.07 7.32 3.27 10.49 19.2 13.01 10.73      
31-01-2012 -5.57 21.84 4.95 14.16 17.07 11.82 10.67      
31-01-2011 12.78 2.34 12.9 17.23 14.91 13.28 15.39      
29-01-2010 69.82 6.14 18.86 24.69 12.18 10.64        
30-01-2009 -44.04 -1.42 9.7 15.08 11.52 5.73        
31-01-2008 25.83 35.66 37.59 20.76 18.22 13.34        
31-01-2007 36.04 31.15 30.58 14.88 15.42 12.64        
31-01-2006 45.85 42.28 16.95 17.58 13.47 16.23        
31-01-2005 13.7 24.15 5.88 11.45 6.75          
30-01-2004 73.71 9.68 13.37 9.28 3.8          
31-01-2003 -3.12 -12.33 1.58 2.98 2.87          
31-01-2002 -21.6 3.63 2.03 0.06 4.61          
31-01-2001 -11.29 12.5 10.09 1.38 15.87          
31-01-2000 60.03 16.71 7.62 10.16            
29-01-1999 0.29 4.43 -4.97 5.04            
30-01-1998 -0.95 -3.47 4.17 17.35            
31-01-1997 14.64 -7.94 7.27              
31-01-1996 -20.8 2.61 21.97              
31-01-1995 -14.06 16.08                
31-01-1994 58.73 58.28                
29-01-1993 14.65                  
31-01-1992 117.88                  
31-01-1991                    
count 35 33 31 29 26 21 16 11 6 1
mean 17.22 12.81 11.65 11.56 11.68 12.22 12.22 11.63 11.42 13.36
std 31.67 13.99 8.28 5.45 4.31 2.49 1.9 1.34 1.17  
min -44.04 -12.33 -4.97 0.06 2.87 5.73 8.25 9.03 10 13.36
max 117.88 58.28 37.59 24.69 19.2 17.03 15.39 13.57 13.39 13.36
median 13.19 11.8 12.21 11.42 12.49 12.45 11.86 11.75 11.15 13.36
Positive Return Year Count 25 29 30 29 26 21 16 11 6 1
Negative Return Year Count 10 4 1 0 0 0 0 0 0 0

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Overview of the Data

The dataset provides returns for the Nifty 50 Index over multiple time horizons: 1-year returns and CAGR for 3, 5, 7, 10, 15, 20, 25, and 30 years, calculated annually from 1991 to 2025. The data includes statistical measures such as mean, standard deviation, minimum, maximum, and quartiles, offering a robust framework to evaluate the index's performance.

Key Observation About NIFTY 50 Long-Term Return Analysis (30-Jan-2026)

1-Year Returns: The Zone of High Volatility

The 1-year return period represents the most volatile segment of equity investing, dominated by market sentiment, liquidity flows, and short-term macroeconomic shocks rather than fundamental earnings growth. Historical data shows an extreme volatility in returns, ranging from a staggering high of 117.9% (recorded in Jan 1992) to a crushing low of -44.0% (during the Global Financial Crisis in Jan 2009). The standard deviation-a measure of risk-is highest here at 31.7%, indicating that outcomes vary wildly from the mean.

Crucially for investors, the probability of incurring a loss over a 1-year holding period is substantial, at approximately 29%. This nearly one-in-three chance of negative returns underscores why equities are unsuitable for capital needed in the immediate term. The average return of 17.2% is skewed higher by outlier bull markets (like the Harshad Mehta boom or post-COVID recovery), but the median return of 13.2% is a more reliable indicator of typical performance.

NIFT 50 1 Year Return

3-Year CAGR: Moderating Extremes

Extending the investment horizon to three years significantly dampens volatility, though risks remain. The standard deviation drops by more than half to 14.0%, reflecting the market's tendency to revert to the mean after periods of excess. The range of returns narrows to a high of 58.3% and a low of -12.3%. While the upside potential remains attractive, the downside risk is still present, with a 12% probability of negative returns.

This period often bridges a full market cycle or a significant portion of one. The worst 3-year period ended in Jan 2003, following the Dot-com bust, while the best ended in Jan 1994. For a professional investor, a 3-year horizon is often the minimum threshold to filter out "noise," yet it is not entirely safe. The data suggests that while the likelihood of loss decreases, investors in this timeframe must still be prepared to weather cyclical downturns without capital erosion protection.

 

NIFT 50 3 Year Return

5-Year CAGR: The Transition to Stability

The 5-year horizon marks a critical psychological and statistical turning point in equity investing. At this stage, the probability of negative returns collapses to just 3%, with the only recorded loss period ending in early 1999 (-5.0% CAGR). The volatility further decreases, with a standard deviation of 8.3%. This period effectively captures the typical business cycle, allowing earnings growth to become a more dominant driver of returns than valuation multiple expansion or contraction.

The maximum 5-year CAGR of 37.6% (ending Jan 2008) reflects the powerful bull run of the mid-2000s. Conversely, the average return settles at 11.6%, which is closer to the long-term nominal GDP growth rate of the economy. For financial planners, the 5-year mark is often cited as the entry point for "safe" equity allocation, as the risk of capital loss becomes statistically negligible, though periods of sub-par returns (low single digits) are still possible.

NIFT 50 5 Year Return

7-Year CAGR: The Zero-Loss Milestone

Historically, the 7-year holding period has been the "magic number" for NIFTY 50 investors. In the entire dataset, there has been zero probability of negative returns over any 7-year rolling period. The minimum return recorded was a flat 0.06% (ending Jan 2002), meaning that even in the worst-case scenario, capital was preserved. The range of outcomes tightens further, with a maximum CAGR of 24.7% and an average of 11.6%.

This period reinforces the benefit of patience. The standard deviation falls to 5.4%, indicating a high degree of reliability in outcomes. At this stage, the compounding effect begins to accelerate, and the variance between the "lucky" investor (who entered at a bottom) and the "unlucky" investor (who entered at a top) reduces significantly. It represents an ideal horizon for medium-term financial goals, offering equity-like returns with bond-like principal security, historically speaking.

NIFT 50 7 Year Return

10-Year CAGR: Consistency in Double Digits

Over a decade, the NIFTY 50 has demonstrated remarkable consistency. The analysis shows a minimum 10-year CAGR of 2.9% and a maximum of 19.2%, with an average of 11.7%. The volatility of returns is very low (Standard Deviation: 4.3%), meaning investors can predict their terminal wealth with far greater accuracy than in shorter periods. The "worst" decade ending in 2003 still yielded positive returns, albeit below inflation, while the best decades created massive wealth.

Professional analysis suggests that a 10-year horizon almost entirely eliminates the impact of market timing. Whether an investor entered during a peak or a trough becomes less relevant than the duration of time in the market. The convergence of returns towards the 11-12% range highlights the underlying growth of the Indian corporate sector. This is the bedrock horizon for retirement planning, where the focus shifts from capital preservation to inflation-beating wealth accumulation.

NIFT 50 10 Year Return

15-Year CAGR: The Wealth Compounding Engine

The 15-year period showcases the true power of long-term compounding. The minimum CAGR rises to a healthy 5.7%, ensuring that investors not only preserve capital but likely beat inflation even in the worst historic scenarios. The average return increases slightly to 12.2%, and the volatility drops to a negligible 2.5%. This timeframe smoothens out multiple business cycles, crises, and geopolitical events (e.g., 2008 Crisis, 2020 Pandemic).

Interestingly, the gap between the best (17.0%) and worst (5.7%) periods is remarkably narrow compared to shorter durations. This implies that over 15 years, the structural growth of the economy completely overrides cyclical volatility. For wealth managers, this data confirms that equities are not a gamble over 15 years but a calculated participation in economic growth. The consistency here is high enough to treat equity returns as a reliable component of a long-term actuarial model.

NIFT 50 15 Year Return

20-Year CAGR: Statistical Certainty

With a 20-year horizon, the NIFTY 50 returns exhibit statistical certainty rarely seen in asset markets. The standard deviation is an incredibly low 1.9%, and the returns are tightly clustered between 8.2% and 15.4%. The average CAGR remains robust at 12.2%. There are no "bad" 20-year periods in the dataset; the "worst" outcome of 8.25% is still comparable to fixed-income returns but with the tax advantages of equity.

This period captures major structural shifts in the economy-from liberalization to digitization. An investor staying invested for 20 years effectively captures the "India Story" regardless of when they started. The data implies that over two decades, the market becomes a weighing machine, perfectly reflecting corporate earnings growth. This is the definitive horizon for intergenerational wealth transfer and sovereign funds, where stability of return is as prized as the magnitude of return.

 

25-Year CAGR: Convergence to the Mean

As we approach the quarter-century mark, the data points (11 observations) reinforce the theme of convergence. The average return is 11.6%, with a tight range between 9.0% and 13.6%. The standard deviation is a minute 1.3%. At this stage, the returns are almost bond-like in their predictability but equity-like in their magnitude.

The minimum return of 9.0% is particularly instructive; it suggests that over 25 years, the "risk premium" of equities is fully realized. Even the unluckiest investor earned a substantial premium over inflation. This horizon filters out not just business cycles but also secular super-cycles (e.g., the commodity boom of 2003-2008 or the tech boom of the 2020s). For pension funds and endowments, these figures validate the heavy allocation to equities for liabilities due in the distant future.

30-Year CAGR: The Institutional Horizon

The 30-year data, though limited to 6 observations, offers a glimpse into the lifetime return of a disciplined investor. The returns are incredibly stable, ranging from 10.0% to 13.4%, with an average of 11.4%. The volatility is practically non-existent (Std Dev: 1.2%).

This horizon corresponds to a typical individual's entire accumulation phase (e.g., age 30 to 60). The data indicates that a Systematic Investment Plan (SIP) or lump sum invested for a working lifetime in the index would have yielded a double-digit return with near certainty. The consistency here dispels the myth of "timing the market" completely; over 30 years, the entry point is statistically irrelevant. The primary driver of wealth is simply the endurance to remain invested.

35-Year CAGR: The Full History

The 35-year CAGR relies on the full span of the available data (1991–2026). The singular data point shows a return of 13.36%. While we cannot calculate volatility or ranges from a single point, this figure serves as the "Grand Average" of the modern Indian equity market post-liberalization.

It encapsulates the entire journey of the Indian economy from the 1991 reforms to its emergence as a global economic power. A 13.36% CAGR over 35 years multiplies capital by nearly 80 times. This metric stands as the ultimate testament to the equity asset class in a developing economy: despite scams, recessions, pandemics, and political changes, the long-term trajectory has been relentlessly upward, rewarding those with the longest perspective with the highest absolute wealth creation.

 

 

 


 



 


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