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Abstract - One of the fast burgeoning and lucrative sector among all the sectors over the world is Food Processing. India’s Food Ecosystem provides immense opportunities for investors not only Indians but also FDI’s. The total FDI received in this sector from 2000 to 2023 (Dec) was approx. $12.46 Bn which is about 1.87 % of total FDI equity flow. By 2025 this Food Processing sector market is estimated to reach $ 535 Bn with a growing compound annual rate of 15.2%. At present food processing sector is growing at an average annual growth rate (AAGR) of around 7.26%. Today every business entity works on shareholders wealth to increase investments. As investors are demanding more shareholder value then just high returns, having keen observations on company’s financial performances.
The purpose of this study is to determine food processing company’s financial performance using the latest concept of EVA and MVA during the period of 2019 -2023. EVA represents company’s true economic profit. It is useful in learning mature, stable and asset rich companies whereas MVA is used to determine exactly how much value the firm has accumulated over the time. All research data collected in this study is secondary data from websites and literature review. The sample in this study consists of 20 Food processing companies listed in NSE and BSE.
Keywords:
Economic Value Added (EVA), Market Value Added (MVA), Food Processing, Financial Performance
Cite Article:
"Analysis Of Financial Performance Using Economic Value Added (EVA) And Market Value Added (MVA) In Food Processing Companies Of Indian Stock Exchange", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b654-b664, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503198.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator