Long-Term Impact of Mergers and Acquisitions on Firm Performance: A Panel Data Study

Purpose - This study aims to examine the long-term impact of mergers and acquisitions (M&As) on firm performance, particularly within the pharmaceutical industry. Using a panel data regression model, the study assesses how key financial ratios such as Net Profit Margin, Return on Capital Employed (ROCE), Debt to Equity Ratio, and Enterprise Value influence postmerger firm performance over time. Design/methodology/approach - A panel data approach has been conducted using data from 10 pharmaceutical companies from their post-merger period, focusing on the effects of M&As on firm performance as measured by Net Profit Margin. Financial ratios related to profitability, liquidity, and valuation were used as independent variables. Findings - The study finds that M&As have a positive long-term impact on firm performance, particularly in companies with strong Earnings per Share (EPS), efficient capital management, and good liquidity. ROCE, Debt to Equity Ratio, and Current Ratio were significant predictors of improved Net Profit Margin, highlighting the importance of financial efficiency and debt management in the post-merger phase. Research limitations/implications - The focus on the pharmaceutical industry limits the generalizability of the findings to other sectors. Future studies should examine a broader range of industries to better understand the effects of M&As across different contexts

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-10-25
DOI
https://doi.org/10.22214/ijraset.2024.64665
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-Term Impact of Mergers and Acquisitions on Firm Performance: A Panel Data Study

Veerendra Anchan
International Journal for Research in Applied Science and Engineering Technology
Corporate Finance and Governance
article

Long-Term Impact of Mergers and Acquisitions on Firm Performance: A Panel Data Study

Veerendra Anchan
article en

Abstract

Purpose - This study aims to examine the long-term impact of mergers and acquisitions (M&As) on firm performance, particularly within the pharmaceutical industry. Using a panel data regression model, the study assesses how key financial ratios such as Net Profit Margin, Return on Capital Employed (ROCE), Debt to Equity Ratio, and Enterprise Value influence postmerger firm performance over time. Design/methodology/approach - A panel data approach has been conducted using data from 10 pharmaceutical companies from their post-merger period, focusing on the effects of M&As on firm performance as measured by Net Profit Margin. Financial ratios related to profitability, liquidity, and valuation were used as independent variables. Findings - The study finds that M&As have a positive long-term impact on firm performance, particularly in companies with strong Earnings per Share (EPS), efficient capital management, and good liquidity. ROCE, Debt to Equity Ratio, and Current Ratio were significant predictors of improved Net Profit Margin, highlighting the importance of financial efficiency and debt management in the post-merger phase. Research limitations/implications - The focus on the pharmaceutical industry limits the generalizability of the findings to other sectors. Future studies should examine a broader range of industries to better understand the effects of M&As across different contexts

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(10)
Openalex Percentile: Top 69%
Corporate Finance and Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.