Trends and Determinants of Mergers and Acquisitions in the Manufacturing Sector in India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.1.07Keywords:
Mergers and Acquisitions, Deal Size, Sector., Stake Percentage,, India, Manufacturing SectorDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This article discusses the strategic rationale and impact of mergers and acquisitions (M&A) that have impacted the manufacturing sector for the years 2004-2022. It is meant to bridge the research gap in the knowledge of the role of non-financial measures such as stake percentage and business value in such transactions. The research employs a mixed-method and a rich set of data of 20 years of M&A deals. It examines the connection between the deal size and other financial and non-financial factors. The results contradict the traditional assumptions, which show that financial measures such as revenue, EBITDA and PAT do not affect the size of M&A deals. Rather, the percentage of stake and business value become the most important factors, which point to the strategic reasons of M&A decisions. The paper also reveals that there are different M&A dynamics in various manufacturing sub-sectors, which depict different strategic goals. The findings highlight the complexity of M&A activities, which are more influenced by strategic needs of entering the market and technological improvement rather than the financial ones. Such insights are essential to the industry stakeholders in order to make informed investment and strategic plans, which explains the significance of both financial and non-financial aspects of M&A transactions. The paper ends by requesting more studies to be conducted on long-term effects and qualitative nature of M&A to gain more insight into its transformational effects on manufacturing industry.Abstract
How to Cite
Downloads
Similar Articles
- Rajni Thapa, S. Victor Devasirvadam, Effect of Aloe vera gel versus olive oil in the prevention of pressure ulcers among bedridden patients: A pilot study , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- M.V. RADHAKRISHNAN, E. SUGUMARAN, EFFECT OF A BIODEGRADABLE SUBSTRATE SUGARCANE BAGASSE ON EGG AND SPERM QUALITY OF THE CATFISH, CLARIAS BATRACHUS (LINN.) , The Scientific Temper: Vol. 3 No. 1&2 (2012): The Scientific Temper
- Gulshan Makkad, Lalsingh Khalsa, Vinod Varghese, Fractional thermoviscoelastic damping response in a non-simple micro-beam via DPL and KG nonlocality effect , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- B. S. E. Zoraida, J. Jasmine Christina Magdalene, Smart grid precision: Evaluating machine learning models for forecasting of energy consumption from a smart grid , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Goutam Mandal, Baibaswata Bhattacharjee, Biosynthesis of ZnO nanoparticles using the young fruit of Borassus flabellifer: Characterization and photocatalytic removal of biohazardous safranin-O dye using solar irradiation , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ekhlaque Ahmad Khan, Sudha Yadav, The multifaceted potential of fennel: From antioxidant to biostimulants , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Sindhu S, L. Arockiam, DRMF: Optimizing machine learning accuracy in IoT crop recommendation with domain rules and MissForest imputation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Murugaraju P, A. Edward William Benjamin, Efficacy of multimedia courseware in achievement in Mathematics , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper

