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Determinants of Voluntary Delisting in Post-Transition Markets: Evidence from Poland Cover

Determinants of Voluntary Delisting in Post-Transition Markets: Evidence from Poland

Open Access
|Jul 2026

Figures & Tables

Figure 1.

Distribution of the P/E ratio by delisting status. P/E, price-to-earnings

Figure 2.

Non-linear effect of the P/E ratio. P/E, price-to-earnings

Non-financial characteristics of analysed cases

Company nameYear of debutYear of delistingAge of company at IPOSectorMarket capitalisation before tender offerShare of controlling shareholder (%)Nature of entity making tender offerReason for delisting
Ciech2005202460ChemicalPLN 2.79 billion95.43Investor from outside the industryAbility to respond more quickly and flexibly to changing conditions, facilitate decision-making, and reduce obligations and the scope of published information about the company
Polnord S.A.1999202122Real estate developmentPLN 335 million92.92Foreign industry entityImplementation of the Cordia group’s strategy, restructuring of Polnord and consolidation of the group’s operations, which was not possible on the public market
STS Holding S.A.2021202424BettingPLN 3.88 billion99.28Foreign industry entityInclusion in the Entain group, which brings together entities from the industry
‘Kruszwica’ Fat Works1997202145FoodPLN 1.5 billion97.67Foreign industry entityAcquisition by foreign industry player
Stelmet S.A.2016202031Wooden furniture manufacturingPLN 265.7 million95.37Polish investorInvestment in the company’s shares as a long-term investment by the caller
Arteria S.A.200620232Outsourcing servicesPLN 40.13 million95.05Foreign industry entityAcquisition by a foreign industry entity
TVN S.A.200420159Media entityPLN 6.78 billion98.76Foreign industry entityAcquisition by a foreign industry entity
Mieszko S.A.200020147Confectionery industryPLN 161.42 million91.01Foreign investor from outside the industryAcquisition by a foreign entity from outside the industry
Gekoplast2014201847Packaging manufacturerPLN 91.9 million99.3Foreign entity within the industryAcquisition by a foreign entity within the industry
DZ Bank Polska199420115BankPLN 970.24 million99.87Foreign parent companyComplete acquisition by a foreign parent company

Cox proportional-hazards model results (time-varying effect)

coefexp(coef)e(coef)zpr(> |z|)
|ΔROE|−0.099260.905500.08936−1.1110.26663
log_ Assets0.644281.904620.309412.0820.03732
tt(P/E_std)1.068302.910410.376392.8380.00454
Concordance = 0.857 (se = 0.086)
Likelihood ratio test = 17.41
Wald test = 8.69
Score (logrank) test = 14.96

Determinants of stock exchange entry by geographic and temporal perspective

AuthorsYearType of factorCountryKey findings
Pagano et al.1998FinancialItalyAn IPO reduces the cost of debt and equity capital.
Carpentier and Suret2011Non-financialCanadaAudits by reputable auditors increase the likelihood of survival in the market.
Mehmood, Mohd-Rashid & Ong2021MacroeconomicPakistanThe stock market index level, inflation, GDP growth rate, foreign direct investment and treasury bill interest rates are important for determining the IPO date.
Riyath and Dayaratne2025FinancialSri LankaIncreasing the added value of the company as a result of listing by expanding the ownership structure and creating strategic partnerships.

Summary of results

CaseShort existence at IPO (<5 years)Negative average ROELow P/BV (<1)PE/investment companyMature sectorQuick delist (<5 years)High ownership (>90%)Low P/E (<10)
Ciech✘ (60 years)✘ (0.17%)✘ (1.1)✔ (chemical)✘ (19 years)✔ (95.43%)✔(7.6)
Polnord S.A.✘ (22 years)✔(−0.16%)✔(0.77)✔(developer)✘ (22 years)✔ (92.92%)✘ (31.90)
STS Holding S.A✘ (24 years)✔ (−79.40%)✘ (13.22)✔ (bookmaker)✔ (3 years)✔ (99.28%)✘ (22.58)
‘Kruszwica’ Fat Works✘ (45 years)✘ (3.87%)✘ (1.8)✔ (food)✘ (24 years)✔ (97.67%)✘ (22.60)
Stelmet S.A.✘ (31 years)✔ (−852.84%)✔(0.57)✔ (Investment Fund)✔ (manufacturing)✔ (4 years)✔ (95.37%)✘ (27.50)
Arteria S.A.✔ (2 years)✔ (−193.03%)✔(0.89)✔ (services)✘ (17 years)✔ (95.05%)✔(−4.76)
TVN S.A.✘ (9 years)✘ (7.99%)✘ (6.9)✔ (media)✘ (11 years)✔ (98.76%)✘ (36.7)
Mieszko S.A.✘ (7 years)✘ (5.88%)✔(0.81)✔ (Investment Company)✔ (food)✘ (17 years)✔ (91.01%)✔(9.7)
Gekoplast✘ (47 years)✘ (16.56%)✘ (3.23)✔ (PE)✔ (manufacturing)✔ (4 years)✔ (99.3%)✘ (17.4)
DZ Bank Polska✔ (5 years)✘ (5.16%)✘ (2.67)✔ (bank)✘ (17 years)✔ (99.87%)✘ (32.7)

PSM matched pairs

Study group companyControl group matchIndustry sub-index
CiechPolwax S.A.WIG-Chemia
Polnord S.A.ATREMWIG-Budownictwo
STS Holding S.A.BOOMBITWIG-Gry
Zakłady Tłuszczowe ‘Kruszwica’PEPEESWIG-Spożywczy
MIESZKO S.A.ASTARTAWIG-Spożywczy
Stelmet S.A.KGHMWIG-Górnictwo
TVN S.A.PMPGWIG-Media
Gekoplast S.A.ODLEWNIE POLSKIE SAWIG-Przemysł
DZ Bank PolskaSANPLWIG-Banki
Arteria S.A.PKP CARGOSektor Usługi Inne

Determinants of stock exchange exit by geographic and temporal perspective

AuthorsYearType of factorCountryKey findings
Morgenstern et al.2004Non-financialUSAThe crisis of confidence in the financial and regulatory sector is causing a withdrawal from the stock market.
Yang and Sheu2006Non-financialTaiwanThe probability of delisting decreases with the company’s seniority at the time of IPO.
Marosi and Massoud2007FinancialUSADelistings may be caused by an increase in audit fees.
Leuz et al.2008Non-financialUSAThe departures are the result of agency problems arising from the shareholding structure.
Mayur and Kumar2013MacroeconomicIndiaThe intensity of the phenomenon depends on the stage of the economic cycle.
Pour and Lasfer2013FinancialGreat BritainThe shorter the listing period and the higher the costs, the greater the likelihood of delisting.
Tutino et al.2013Non-financialItalySmall companies in slow-growth industries are more likely to delist from the stock exchange.
Konno and Itoh2017Non-financialJapanThe debt-to-assets ratio is not relevant when analysing delistings. The wealth transfer hypothesis, the ratio of listing costs to company profits and industry characteristics are relevant.
Kang2017Non-financialKoreaThere are industries with an increased likelihood of delisting: textiles and clothing, construction and trade. The important role of shareholder structure.
Bessler et al.2019Non-financialGermanyThe decision to delist is motivated by the desire to start trading on less liquid market segments.
Botha et al.2025Non-financial and macroeconomicSouth AfricaThe likelihood of delisting is influenced by management transparency, the level of institutional influence, the age of the company, analyst recommendations and macroeconomic factors.

Financial characteristics of analysed cases

Company nameP/EP/BVAverage turnoverFree floatPremium in tender offer
Ciech7.61.12.802 million100%PLN 53 06/11/2023 (2%)
3,518,45527.3%
Polnord S.A.31.900.770.141 million100%PLN 2.84 30/11/2021 (25%)
2,494,65318%–20%
STS Holding S.A.22.5813.222.624 million0%PLN 24.6 04/10/2023 (1%)
7,061,86720%–25%
‘Kruszwica’ Fat Works22.601.80.464 million PLN 65.8 26/02/2021 (1%)
442,78518%
Stelmet S.A.27.500.570.032 million PLN 9.05 28/07/2020 (0%)
228,1897%
Arteria S.A.-4.760.890.010 million2PLN 9.40 20/04/2023 (−5%)
8,91718%
TVN S.A.36.76.95.817 million0%PLN 19.92 22/09/2015
Mieszko S.A.9.70.810.282 million0%PLN 3.95 25/11/2014
Gekoplast17.43.230.041 million0%PLN 15.20 15/02/2018
DZ Bank Polska32.72.6766,3310%PLN 15.21 21/09/2010
DOI: https://doi.org/10.2478/ceej-2026-0014 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 244 - 262
Submitted on: Dec 8, 2025
Accepted on: May 27, 2026
Published on: Jul 8, 2026
In partnership with: Paradigm Publishing Services

© 2026 Zofia Guździoł, Marcin Bielicki, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.