Performance Analysis of Agriculture, Livestock and Hunting Sector Firms Using Piotroski F-Score Method

The agricultural sector is critical in providing nutrition, which is one of the basic needs of the world population. The financial performance of the industry, which has been affected by global climate changes in recent years and is sensitive to social, economic, and technological risks, is a point that should be emphasized for investors and countries in terms of sectoral development. This study will discuss the financial performance of agriculture, livestock and hunting sector firms traded in Borsa Istanbul (BIST) between 2020-2023 through the Piotroski F Score. Piotroski F Score calculations used nine financial indicators showing the firms' profitability, operating efficiency, leverage and liquidity status. In the research on four firms listed on the BIST, averages were calculated and grouped by scoring from 9 to 1. As a result of the Piotroski F Score method, agricultural sector firms differed yearly. In general, according to the Piotroski F scores of the firms, their financial performance was at a medium level, and they were worth investing in. It can be said that only one of the two firms has a strong financial position in two years and the other in one year, while the financial position of the other firm is at a medium level in all years during the analysis period. In the analysis, it was determined that the top three financial indicators of the firms according to the F score method are the return on assets, the change in return on assets and the change in the current ratio. Conversely, earnings quality and the change in leverage ratios are the least successful indicators. Also, their asset turnover rates are low.

Authors

Institutions

Publication Details

Journal
Black Sea Journal of Agriculture
Published
2025-04-30
DOI
https://doi.org/10.47115/bsagriculture.1654889
Primary Topic
Organic Food and Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Analysis of Agriculture, Livestock and Hunting Sector Firms Using Piotroski F-Score Method

Nilüfer Yücedağ Erdinç
Black Sea Journal of Agriculture
Organic Food and Agriculture
article

Performance Analysis of Agriculture, Livestock and Hunting Sector Firms Using Piotroski F-Score Method

Nilüfer Yücedağ Erdinç
article en

Abstract

The agricultural sector is critical in providing nutrition, which is one of the basic needs of the world population. The financial performance of the industry, which has been affected by global climate changes in recent years and is sensitive to social, economic, and technological risks, is a point that should be emphasized for investors and countries in terms of sectoral development. This study will discuss the financial performance of agriculture, livestock and hunting sector firms traded in Borsa Istanbul (BIST) between 2020-2023 through the Piotroski F Score. Piotroski F Score calculations used nine financial indicators showing the firms' profitability, operating efficiency, leverage and liquidity status. In the research on four firms listed on the BIST, averages were calculated and grouped by scoring from 9 to 1. As a result of the Piotroski F Score method, agricultural sector firms differed yearly. In general, according to the Piotroski F scores of the firms, their financial performance was at a medium level, and they were worth investing in. It can be said that only one of the two firms has a strong financial position in two years and the other in one year, while the financial position of the other firm is at a medium level in all years during the analysis period. In the analysis, it was determined that the top three financial indicators of the firms according to the F score method are the return on assets, the change in return on assets and the change in the current ratio. Conversely, earnings quality and the change in leverage ratios are the least successful indicators. Also, their asset turnover rates are low.

Black Sea Journal of AgricultureVol. 8(3)
Tarsus University (TR)
Openalex Percentile: Top 94%
Organic Food and Agriculture
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.