Long-term Financial Analysis of the Slovenian Wood Industry Using DEA

Long-term financial analysis is an important tool for assessing the financial position of a company and/or sector. The aim of the research was to analyze selected financial indicators of the Slovenian wood industry in sub-sectors C16 (wood processing – except furniture) and C31 (manufacture of furniture) for the last 10 years (from 2007-2016). The efficiency evaluation was performed by DEA (Data Envelopment Analysis) window analysis. Other comparisons between two sub-sectors were performed by analysis of time series of financial indicators and by t-test. We have analyzed 40 financial indicators, 15 of which in more detail. Some models, analyzed by DEA method, show relative deterioration in efficiency in the years 2007-2010, but in most cases efficiency has increased in recent years. With this, we have proven that the efficiency of both sub-sectors is improving. For all models, the performance of the sub-sector C16 is better than that of C31. It has been proven by t-test that the difference between these two sub-sectors is statistically significant, as differences of more than half of the financial indicators between the two sub-sectors are statistically significant. Therefore, improvements in profitability ratios at the company’s level should be done and appropriate measures within the sectoral economic policies should be taken to achieve the conditions needed for greater efficiency and success.