| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 45.71 | 42.05 | 39.98 | 42.15 | 42.23 | 40.78 | 41.2 | 41.11 | 42.1 | 42.15 | 41.16 | 40.75 |
| 2024 | 45.09 | 44.88 | 45.51 | 47.47 | 48.38 | 50.64 | 52.01 | 51.94 | 54.47 | 49.22 | 46.24 | 46.78 |
| 2023 | 38.59 | 37.81 | 37.49 | 38.03 | 39.14 | 41.27 | 42.59 | 40.35 | 41.13 | 40.78 | 41.09 | 43.94 |
| 2022 | 48.17 | 40.61 | 37.47 | 39.72 | 37.12 | 35.45 | 38.42 | 38.07 | 38.24 | 38.71 | 39.35 | 40.06 |
| 2021 | 201.23 | 262.29 | 260.56 | 153.56 | 124.72 | 87.77 | 81.88 | 60.92 | 62.35 | 62.81 | 54.02 | 47.57 |
| 2020 | 56.25 | 61.85 | 47.85 | 47.86 | 52.14 | 68.49 | 74.19 | 265.2 | 355.05 | 136.69 | 161.91 | 188.59 |
| 2019 | 45.35 | 45.54 | 46.64 | 44.18 | 42.95 | 43.04 | 41.25 | 39.44 | 39.7 | 37.81 | 44.58 | 54.88 |
| 2018 | 59.92 | 57.03 | 56.43 | 59.74 | 62.27 | 60.09 | 49.52 | 48.87 | 44.6 | 40.02 | 44.1 | 46.73 |
| 2017 | 29.73 | 31.69 | 32.23 | 32.66 | 40.2 | 49.06 | 51.78 | 53.76 | 55.92 | 52.36 | 56.5 | 59.14 |
| 2016 | 28.67 | 27.56 | 28.34 | 29.37 | 30.52 | 30.91 | 32.25 | 33.02 | 33.36 | 33.06 | 29.47 | 28.42 |
| 2015 | 30.1 | 29.15 | 29.54 | 33.12 | 30.69 | 29.21 | 30.63 | 29.63 | 27.94 | 29.47 | 29.86 | 29.96 |
| 2014 | 26.53 | 25.25 | 26.73 | 27.41 | 27 | 28.94 | 29.62 | 30.04 | 33.53 | 31.05 | 30.23 | 29.56 |
| 2013 | 26.45 | 25.08 | 24.72 | 24.68 | 26.8 | 26.43 | 27.94 | 25.76 | 26.51 | 27.67 | 26.73 | 27.06 |
| 2012 | 21.21 | 22.69 | 22.37 | 22.77 | 21.68 | 21.97 | 22.57 | 22.38 | 23.01 | 24.2 | 25.01 | 26.5 |
| 2011 | 24.11 | 22.89 | 22.81 | 22.58 | 22.48 | 21.14 |
The Nifty India Consumption P/E Ratio page on FinLive is designed for investors who want to understand how the market values one of India’s most influential themes: consumption. Since companies in this index represent essential and discretionary spending across FMCG, retail, autos, telecom and healthcare, keeping track of their valuation helps gauge the strength of the consumer economy. The page brings together all the important valuation tools in one place and presents them in a way that is easy to understand, even for new investors.
The Nifty India Consumption Index represents a group of companies that thrive on India’s rising consumer demand. It includes businesses from sectors like FMCG, automobiles, telecom, retail, healthcare, and other consumer-driven industries. Since consumption forms a major part of India’s GDP, this index is often treated as a mirror that reflects how confident and financially healthy Indian households are.
Consumption plays a huge role in India’s economic growth. When people earn more, spend more, and feel optimistic about the future, the companies inside this index usually perform well. For investors, this index is a simple tool to measure the pulse of domestic demand. It is also widely used as a benchmark by mutual funds and ETFs that follow the consumption theme.
Since the index covers both essential and discretionary spending categories, it offers a balanced picture. Essentials like food and household goods provide stability, while sectors like automobiles and retail react more sharply to economic changes. Together, they create a realistic view of how Indian consumers behave through good and bad market cycles.
The page shows the most recent P/E value of the Nifty India Consumption Index, helping users instantly judge whether the index is currently trading at a high or low valuation compared to its earnings.
Users can view how the P/E ratio has moved over time. The charts make it easy to compare current levels with past highs, lows and long term averages, helping investors identify valuation patterns or cycles.
The page summarises P/E highs and lows across different periods such as 1 month, 3 months, 6 months, 1 year and more. These ranges help users understand volatility and how valuations reacted to market phases.
Some pages may provide short term, medium term and long term P/E signals showing whether valuations appear stretched or reasonable. This helps users interpret the data more quickly.
Clean charts, structured tables and easy navigation make it simple for users to view data clearly without needing advanced market knowledge.