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Lamida Kongkadvanich
Titaporn Sincharoonsak


          This article aims to study general information on small and medium enterprises in Thailand and to analyze the performance of small and medium enterprises in Thailand. It uses the quantitative analysis to analyze the performance of small and medium enterprises. This study used 260 samples. The research instrument were questionnaires. The questions have confidence by validity and reliability were examined with the Cronbach's Alpha coefficient having α greater than 0.7. The descriptive statistics in the study were mean, percentage and standard deviation. The research was found that most of the sample groups had a registered capital of more than 5 million baht, but not over than 10 million baht, operated their business more than 15 years but not over than 20 years, and had fewer or 50 employees, and the rate of return on assets (ROA) was mostly equal to 0.21 - 0.40 while the profit margin ratio (Net Profit Margin) is mostly 6% - 10% and the Capacity Utilization rate is 68% - 75%. Make them aware of the ability to use assets to generate income. Financial performance can be measured by operating income or cash flow from operations or total sales. An analyst or investor may want to monitor deeper into finance. Analysts and investors may look deeper at financial statements and growth rates as performance indicators of small and medium enterprises in Thailand.


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Kongkadvanich, L., & Sincharoonsak, T. (2020). PERFORMANCE ANALYSIS OF SMALL AND MEDIUM ENTERPRISES IN THAILAND. Journal of MCU Nakhondhat, 7(10), 375–388. Retrieved from
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กัลยา วานิชย์บัญชา. (2557). การวิเคราะห์สมการโครงสร้าง (SEM) ด้วย AMOS. กรุงเทพมหานคร: ห้างหุ้นส่วนจำกัดสามลดา.

สำนักงานส่งเสริมวิสาหกิจขนาดกลางและขนาดย่อม. (2560). สถานการณ์ของผู้ประกอบการ SMEs ปี 2560. เรียกใช้เมื่อ 12 ตุลาคม 2560 จาก detail/9600000080756

Dimi, O. (2015). Possibilities Of Organizing The Romanian Management Accounting For A Company Which Applies Lean Accounting. (Edition 6). Annals - Economy Series, Romania: University of Târgu Jiu.

Farah Naz et al. (2016). Financial Performance of Firms: Evidence from Pakistan Cement Industry. Journal of Teaching and Education, 5(1), 81-94.

Junarsin, E. (2011). Executive Compensation and Firm Performance: An Empirical Examination. European Journal of Economics, Finance and Administrative Sciences, 1(28), 163-179.

Kaplan, R. S. & Norton, D. P. (1992). The Balanced Scorecard - Measures that Drive Performanceé. Harvard Business Review, 70(1), 71-89.

Khrawish, H. A. (2011). Determinants of commercial banks performance: evidence from Jordan. International Research Journal of Finance and Economics, 81(1), 148-159.

Kwon, O. & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in human behavior, 26(2), 254-263.

MacKay, P. & Phillips, G. M. (2005). How Does Industry Affect Firm Financial Structure? Review of Financial Studies, 18(4), 1433-1466.

Okun, A. (2019). Patent Application Filing Frequency and Jurisdictional Range in The Pharmaceutical Industry. In A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Business Administration. Capella University.

Sequin, B. & Sweetland, J. (2014). Drivers of Canadian Food Processing Competitiveness Macro Factors and Micro Decisions. Canada: George Morris Centre.

Tao, R. & Zhao, H. (2019). Passing the Baton: The effects of CEO succession planning on firm performance and volatility. Corporate Governance: An International Review, 27(1), 61-78.