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Evaluating the Financial Performances of the Publicly Held Healthcare Companies in Crisis Periods in Türkiye

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07 July 2023

Posted:

10 July 2023

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Abstract
The purpose of this study was to evaluate the financial performances of the publicly held healthcare companies in crisis periods in Türkiye by statistical analyses. For this purpose, we conducted Wilcoxon signed-rank tests. We used financial data of the publicly held healthcare companies in Türkiye and we did separate analyses for each crisis period in Türkiye in the last 10 years. The results of the analyses showed that there were no statistically significant differences between the publicly held healthcare companies’ financial performances before the crises and after the crises. This suggests that the Turkish publicly held healthcare companies’ financial performances during the crisis periods in the last 10 years were strong. Nevertheless, policy makers and company managers should remain guarded as the results does not guarantee success in possible future crisis periods that may emerge at any time and bring new challenges.
Keywords: 
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1. Introduction

Crisis periods are times when the financial performances of firms are truly tested. In recent years, the biggest crisis that firms from all over the world had to face was the COVID-19 pandemic which caused the death of approximately seven million people worldwide according to the World Health Organization (WHO) [1]. Every sector and every firm was affected by the COVID-19 pandemic in one way or another, directly or indirectly. However, some sectors were affected by the COVID-19 pandemic more than other sectors and the healthcare sector was undoubtedly one of them. Shreffler et al. [2] included 37 studies in their review article and they found consistent reports of stress, anxiety and depressive symptoms in healthcare workers resulting from the COVID-19 pandemic. Moreover, lockdowns that were imposed during the COVID-19 pandemic affected the global pharmaceutical supply chain [3].
The healthcare sector of Türkiye was also affected significantly by the COVID-19 pandemic. Tengilimoğlu et al. [4] found that the fear to contaminate the COVID-19 virus to their families was the major cause of the anxiety or stress among healthcare workers in Türkiye. Additionaly, Hacimusalar et al. [5] found that the healthcare workers’ hopelessness and state anxiety levels were higher than non-healthcare workers in Türkiye, which is understandable as the healthcare workers were in the frontline during the COVID-19 pandemic. However, Öncü et al. [6] analyzed the effect of the COVID-19 pandemic on health management and health services in Türkiye and found that Türkiye has managed the pandemic period sufficiently.
On the other hand, the COVID-19 pandemic wasn’t the only crisis that the healthcare sector in Türkiye had to face in recent years. Just before the COVID-19 pandemic, an economic crisis had started in Türkiye in 2018 which is still going on today [7]. As every other sector in the country, healthcare sector was also inevitably affected by the economic crisis and the unemployment rates were risen [8].
Moreover, Türkiye experienced two major earthquakes within hours in February 6, 2023. Both earthquakes had such a high magnitude that it made the crisis one of the biggest disasters in Türkiye’s entire history. The earthquakes caused the death of more than 50 thousand people, injured more than 100 thousand people and forced millions of people to leave their homes. Thus, the earthquakes had affected the whole country and of course the healthcare sector, as the healthcare sector was on the frontline once again. Mavrouli et al. [9] found that risk factors associated with infectious diseases were present from the first hours of the disaster. According to the Presidency of Strategy and Budget’s report [10], total damage related to the healthcare sector was 4.3 billion dolars.
In this context, this study aimed to evaluate the financial performances of the publicly held healthcare companies in crisis periods in the last 10 years in Türkiye. For this purpose, statistical analyses have been carried out. The evaluation of the financial performances of the publicly held healthcare companies in crisis periods can lay the foundation for deeper analyses to help policy makers and company managers determine the problematic areas that need to be strengthened to perform better in possible future crisis periods.

2. Materials and Methods

In the study, Wilcoxon signed-rank tests were conducted by using financial data of the publicly held healthcare companies in Türkiye. Wilcoxon signed-rank test is a nonparametric test which can be used to compare two related samples to assess whether their mean ranks differ [11,12]. SPSS software was used for the analyses. Analyses were done for crisis periods in Türkiye in the last 10 years. For every crisis, financial data of the year before crisis and the year of crisis were compared in the analyses. The crises in Türkiye in the last 10 years, together with the years before crises and the years of crises are shown in Table 1.
The publicly held healthcare companies in Türkiye were determined by using “TradingView” [13] website. The publicly held healthcare companies in Türkiye with their codes and company names are presented in Table 2.
There are 15 publicly held healthcare companies in Türkiye as of 2023, but almost half of these companies went public only one or two years before and thus could not be included in the analyses because the required data for crisis periods could not be collected. Accordingly, financial data of 8 publicly held healthcare companies were collected from their annual balance sheet and income statement in independent audit reports. As the annual reports for 2023 are not yet published, the data for 2023 could not be collected and thus the analyses for 2023 earthquakes could not be conducted.
To measure the financial performances of firms, ratio analyses can be done [14,15,16]. In the study, liquidity, turnover, leverage and profitability ratios were calculated to measure the financial performances of the publicly held healthcare companies. The financial ratios that were used in the study and their calculations are presented in Table 3.
Abbreviations of the financial ratios that were used in the study are also shown in Table 3. Other than the financial ratios, annual change in share prices were also included in the analyses and the required data were collected from “Investing.com” [17] website. The letter ‘S’ is used to represent the annual change in share prices.

3. Results

In the analyses, firstly the values of the financial ratios and the annual changes in share prices were calculated. The calculated values of the financial ratios and the annual changes in share prices are presented in Table 4.
After the calculation of the financial ratios and the annual changes in share prices, the Wilcoxon signed-rank tests were conducted for each crisis period by using the calculated values. The Wilcoxon signed-rank test results for 2018 economic crisis are shown in Table 5.
The results of the analyses showed that the mean values for all liquidity ratios were lower in the crisis period (2.45 for L1; 1.95 for L2; 0.82 for L3) than before the crisis period (2.68 for L1; 2.16 for L2; 1.14 for L3) and there were no significant differences between the liquidity ratios’ values before crisis and during crisis (Z: -0.140 and p>0.05 for L1; Z: -0.140 and p>0.05 for L2; Z: -0.140 and p>0.05 for L3).
The mean values for two turnover ratios were higher in the crisis period (-9.60 for T1; 3.24 for T2) than before the crisis period (-12.00 for T1; 3.22 for T2) and were the same for one turnover ratio in the crisis period (0.66 for T3) and before the crisis period (0.66 for T3). There were no significant differences between the turnover ratios’ values before crisis and during crisis (Z: -0.911 and p>0.05 for T1; Z: -0.280 and p>0.05 for T2; Z: -0.423 and p>0.05 for T3).
The mean values for two leverage ratios were lower in the crisis period (0.44 for LV1; 0.25 for LV2) than before the crisis period (0.49 for LV1; 0.32 for LV2) and for one leverage ratio were higher in the crisis period (-3.41 for LV3) than before the crisis period (-6.46 for LV3). There were no significant differences between the leverage ratios’ values before crisis and during crisis (Z: -0.169 and p>0.05 for LV1; Z: -1.572 and p>0.05 for LV2; Z: -1.680 and p>0.05 for LV3).
The mean values for two profitability ratios were higher in the crisis period (0.06 for P2; 0.10 for P3) than before the crisis period (-0.07 for P2; 0.09 for P3) and were the same for one profitability ratio in the crisis period (0.04 for P1) and before the crisis period (0.04 for P1). There were no significant differences between the profitability ratios’ values before crisis and during crisis (Z: -0.970 and p>0.05 for P1; Z: -1.404 and p>0.05 for P2; Z: -0.412 and p>0.05 for P3).
The mean values for the annual change in share prices were lower in the crisis period (-8.01 for S) than before the crisis period (86.41 for S). There were no significant differences between the annual change in share prices’ values before crisis and during crisis (Z: -1.153 and p>0.05 for S).
According to the analyses results, there were no significant differences between any of the financial performance indicators’ values in the year before crisis and the values in the year of crisis for the 2018 economic crisis. The Wilcoxon signed-rank test results for the COVID-19 pandemic are presented in Table 6.
The results of the analyses showed that the mean values for two liquidity ratios were lower in the crisis period (1.80 for L1; 1.51 for L2) than before the crisis period (2.05 for L1; 1.72 for L2) and for one liquidity ratio were higher in the crisis period (0.86 for L3) than before the crisis period (0.80 for L3). There were no significant differences between the liquidity ratios’ values before crisis and during crisis (Z: -0.280 and p>0.05 for L1; Z: -0.421 and p>0.05 for L2; Z: -0.631 and p>0.05 for L3).
The mean values for all turnover ratios were higher in the crisis period (-7.69 for T1; 3.21 for T2; 0.60 for T3) than before the crisis period (-9.11 for T1; 3.15 for T2; 0.57 for T3) and there were no significant differences between the turnover ratios’ values before crisis and during crisis (Z: -1.120 and p>0.05 for T1; Z: -0.000 and p>0.05 for T2; Z: -1.193 and p>0.05 for T3).
The mean values for two leverage ratios were lower in the crisis period (0.25 for LV2; -6.63 for LV3) than before the crisis period (0.30 for LV2; -5.76 for LV3) and for one leverage ratio were higher in the crisis period (0.49 for LV1) than before the crisis period (0.48 for LV1). There were no significant differences between the leverage ratios’ values before crisis and during crisis (Z: -0.085 and p>0.05 for LV1; Z: -1.156 and p>0.05 for LV2; Z: -0.561 and p>0.05 for LV3).
The mean values for all profitability ratios were higher in the crisis period (0.12 for P1; 0.23 for P2; 0.20 for P3) than before the crisis period (0.06 for P1; 0.14 for P2; 0.15 for P3) and there were no significant differences between the profitability ratios’ values before crisis and during crisis (Z: -1.690 and p>0.05 for P1; Z: -1.895 and p>0.05 for P2; Z: -1.183 and p>0.05 for P3).
The mean values for the annual change in share prices were higher in the crisis period (325.16 for S) than before the crisis period (55.45 for S). There were no significant differences between the annual change in share prices’ values before crisis and during crisis (Z: -1.859 and p>0.05 for S).
According to the analyses results, there were no significant differences between any of the financial performance indicators’ values in the year before crisis and the values in the year of crisis for the COVID-19 pandemic.

4. Discussion

We statistically analyzed the financial performances of the publicly held healthcare companies in crisis periods in the last 10 years in Türkiye. The results of the Wilcoxon signed-rank tests showed that the financial performances of the publicly held healthcare companies during the crisis periods were not significantly different from their financial performances before the crisis periods.
Even though there are studies that showed that the healthcare sector in Türkiye was negatively affected by the COVID-19 pandemic [4,5], we found that the publicly held healthcare companies in Türkiye were able to keep their liquidity, turnover, leverage and profitability ratios and thus their financial performances steady. The findings of the study are concordant with Öncü et al.’s [6] findings. Moreover, despite the fact that the unemployment rates were risen during the 2018 economic crisis [8], the publicly held healthcare companies’ financial performances were still strong according to the results of our analyses.
In conclusion, our findings suggest that the financial performances of the publicly held healthcare companies in crisis periods in the last 10 years in Türkiye was strong. However, an important thing to note is that the strong financial performances of the publicly held healthcare companies in crisis periods in the last 10 years, does not guarantee that their financial performances will also be strong in possible future crisis periods. Therefore, policy makers and company managers still need to be cautious, and the companies should try to operate as if a new crisis period could start any moment.
The main limitation of the study was the absence of the required data for 2023 earthquakes analysis. Similar analyses can be conducted in the coming years when the required data for 2023 earthquakes analysis will be available. Similar analyses can also be conducted in other countries and with a longer time period. Moreover, different financial ratios and statistical methods can be used in the analyses.

Author Contributions

Conceptualization, D.T., T.T., R.L.B. and M.Z.Y.; methodology, D.T., T.T., R.L.B. and M.Z.Y.; software, D.T., T.T., R.L.B. and M.Z.Y.; validation, D.T., T.T., R.L.B. and M.Z.Y.; formal analysis, D.T., T.T., R.L.B. and M.Z.Y.; investigation, D.T., T.T., R.L.B. and M.Z.Y.; resources, D.T., T.T., R.L.B. and M.Z.Y.; data curation, D.T., T.T., R.L.B. and M.Z.Y.; writing—original draft preparation, D.T., T.T., R.L.B. and M.Z.Y.; writing—review and editing, D.T., T.T., R.L.B. and M.Z.Y.; visualization, D.T., T.T., R.L.B. and M.Z.Y.; supervision, D.T., T.T., R.L.B. and M.Z.Y.; project administration, D.T., T.T., R.L.B. and M.Z.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Publicly available datasets were analyzed in the study. The data for financial ratios can be found in section “Investor Relations” at the publicly held healthcare companies’ own websites and the data for the annual changes in share prices can be found at https://www.investing.com.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Table 1. The Crises in Türkiye in the Last 10 Years, the Years Before Crises and the Years of Crises for Wilcoxon Signed-Rank Tests.
Table 1. The Crises in Türkiye in the Last 10 Years, the Years Before Crises and the Years of Crises for Wilcoxon Signed-Rank Tests.
Crises Years Before Crises Years of Crises
2018 Economic Crisis 2017 2018
COVID-19 Pandemic 2019 2020
2023 Earthquakes 2022 2023
Table 2. The Codes and the Company Names of the Publicly Held Healthcare Companies in Türkiye.
Table 2. The Codes and the Company Names of the Publicly Held Healthcare Companies in Türkiye.
Codes Company Names
ANGEN ANATOLİA TANI VE BİYOTEKNOLOJİ ÜRÜNLERİ ARAŞTIRMA GELİŞTİRME SANAYİ VE TİCARET A.Ş.
AVHOL AVRUPA YATIRIM HOLDİNG A.Ş.
DEVA DEVA HOLDİNG A.Ş.
ECILC EİS ECZACIBAŞI İLAÇ SINAİ VE FİNANSAL YATIRIMLAR SANAYİ VE TİCARET A.Ş.
EGEPO NASMED ÖZEL SAĞLIK HİZMETLERİ TİCARET A.Ş.
GENIL GEN İLAÇ VE SAĞLIK ÜRÜNLERİ SANAYİ VE TİCARET A.Ş.
KAYSE KAYSERİ ŞEKER FABRİKASI A.Ş.
LKMNH LOKMAN HEKİM ENGÜRÜSAĞ SAĞLIK TURİZM EĞİTİM HİZMETLERİ VE İNŞAAT TAAHHÜT A.Ş.
MEDTR MEDİTERA TIBBİ MALZEME SANAYİ VE TİCARET A.Ş.
MPARK MLP SAĞLIK HİZMETLERİ A.Ş.
ONCSM ONCOSEM ONKOLOJİK SİSTEMLER SANAYİ VE TİCARET A.Ş.
RTALB RTA LABORATUVARLARI BİYOLOJİK ÜRÜNLER İLAÇ VE MAKİNE SANAYİ TİCARET A.Ş.
SEYKM SEYİTLER KİMYA SANAYİ A.Ş.
TNZTP TAPDİ OKSİJEN ÖZEL SAĞLIK VE EĞİTİM HİZMETLERİ SANAYİ TİCARET A.Ş.
TRILC TURK İLAÇ VE SERUM SANAYİ A.Ş.
Table 3. The Financial Ratios That Were Used in the Study and Their Calculations.
Table 3. The Financial Ratios That Were Used in the Study and Their Calculations.
Financial Ratios Calculations
Liquidity Ratios L1: Current Ratio Current Assets / Current Liabilities
L2: Quick Ratio (Current Assets – Inventories) / Current Liabilities
L3: Cash Ratio (Current Assets – Inventories – Accounts Receivable) / Current Liabilities
Turnover Ratios T1: Inventory Turnover Ratio Cost of Goods Sold / Inventories
T2: Accounts Receivable Turnover Ratio Net Sales / Accounts Receivable
T3: Asset Turnover Ratio Net Sales / Total Assets
Leverage Ratios LV1: Total Debt Ratio Total Debt / Total Assets
LV2: Long-term Debt Ratio Long-term Debt / Total Assets
LV3: Interest Coverage Ratio Earnings Before Interest and Taxes / Interest Expense
Profitability Ratios P1: Return on Assets Net Profit / Total Assets
P2: Return on Equity Net Profit / Equity
P3: Net Profit Margin Net Profit / Net Sales
Table 4. The Values of the Financial Ratios and the Annual Changes in Share Prices.
Table 4. The Values of the Financial Ratios and the Annual Changes in Share Prices.
Years Firms L1 L2 L3 T1 T2 T3 LV1 LV2 LV3 P1 P2 P3 S
2017 AVHOL 0.70 0.66 0.02 -20.04 1.59 0.64 0.80 0.41 0.15 0.00 0.01 0.00 -6.15
DEVA 1.48 0.97 0.27 -2.11 2.74 0.64 0.52 0.28 -1.57 0.07 0.15 0.12 24.43
ECILC 3.53 3.18 2.49 -5.00 4.10 0.16 0.09 0.04 -28.59 0.04 0.04 0.24 60.03
LKMNH 1.00 0.85 0.17 -16.61 4.41 1.06 0.66 0.48 -0.59 0.03 0.08 0.03 58.68
MPARK 0.92 0.88 0.27 -42.27 3.43 0.95 0.96 0.93 0.45 -0.05 -1.17 -0.05 No data
RTALB 4.94 4.13 2.33 -3.81 2.67 0.61 0.14 0.01 -7.44 0.07 0.08 0.11 38.75
SEYKM 8.02 5.85 3.46 -2.97 4.60 0.75 0.11 0.03 -13.10 0.08 0.09 0.11 342.72
TRILC 0.86 0.74 0.12 -3.14 2.24 0.43 0.61 0.35 -0.99 0.07 0.17 0.16 No data
2018 AVHOL 2.09 1.84 0.42 -12.63 2.61 0.82 0.42 0.25 0.09 0.00 0.00 0.00 99.18
DEVA 1.65 1.00 0.31 -1.38 2.58 0.62 0.55 0.31 -1.28 0.08 0.18 0.13 -24.89
ECILC 3.77 3.41 2.64 -5.11 3.72 0.16 0.10 0.05 -16.67 0.05 0.06 0.35 -34.69
LKMNH 0.71 0.56 0.10 -11.63 4.65 1.00 0.71 0.41 -0.71 0.03 0.10 0.03 -25.35
MPARK 0.98 0.93 0.28 -32.97 3.48 0.97 0.82 0.67 0.35 -0.04 -0.22 -0.04 No data
RTALB 3.79 3.35 1.13 -4.54 2.45 0.31 0.14 0.01 2.91 0.01 0.01 0.03 -36.94
SEYKM 5.69 3.64 1.51 -3.25 4.67 0.91 0.13 0.03 -11.45 0.10 0.12 0.11 -25.38
TRILC 0.95 0.87 0.15 -5.29 1.77 0.51 0.67 0.29 -0.54 0.08 0.23 0.15 No data
2019 AVHOL 1.72 1.59 0.33 -8.50 1.00 0.22 0.40 0.27 -1.06 0.06 0.10 0.27 -36.63
DEVA 1.85 1.21 0.49 -1.52 2.85 0.65 0.51 0.29 -1.89 0.13 0.28 0.21 173.28
ECILC 2.79 2.55 1.89 -6.34 3.76 0.18 0.12 0.05 -2.49 0.03 0.04 0.19 52.95
LKMNH 0.79 0.62 0.14 -11.82 4.88 0.90 0.75 0.58 -0.14 0.02 0.09 0.02 29.83
MPARK 0.89 0.84 0.30 -31.52 3.73 0.95 0.94 0.88 -0.14 0.01 0.15 0.01 49.53
RTALB 4.43 4.05 1.96 -4.21 2.37 0.17 0.12 0.04 -19.33 0.05 0.05 0.26 42.96
SEYKM 3.03 2.07 1.20 -2.82 5.11 0.89 0.25 0.03 -20.52 0.13 0.17 0.15 76.34
TRILC 0.89 0.81 0.12 -6.11 1.53 0.57 0.76 0.29 -0.48 0.05 0.21 0.09 No data
2020 AVHOL 0.98 0.87 0.23 -4.00 0.91 0.25 0.45 0.02 -0.16 0.00 0.00 0.00 289.61
DEVA 1.97 1.39 0.69 -1.78 2.70 0.60 0.47 0.22 -5.59 0.21 0.40 0.35 169.10
ECILC 3.06 2.70 2.16 -4.08 4.03 0.15 0.12 0.05 -7.98 0.05 0.06 0.35 98.11
LKMNH 0.74 0.61 0.16 -12.53 4.94 0.81 0.67 0.47 -2.00 0.06 0.19 0.08 85.76
MPARK 0.92 0.87 0.35 -26.95 3.47 0.88 0.92 0.84 -0.27 0.01 0.19 0.02 24.19
RTALB 1.73 1.51 0.58 -6.65 3.12 0.90 0.35 0.04 -17.44 0.24 0.36 0.26 1201.14
SEYKM 3.94 3.31 2.58 -3.68 5.11 0.74 0.33 0.16 -18.63 0.28 0.42 0.38 408.20
TRILC 1.06 0.84 0.09 -2.12 1.39 0.50 0.63 0.22 -0.96 0.08 0.23 0.17 No data
Table 5. The Results of the Wilcoxon Signed-Rank Tests for 2018 Economic Crisis.
Table 5. The Results of the Wilcoxon Signed-Rank Tests for 2018 Economic Crisis.
Values L1 L2 L3 T1 T2 T3 LV1 LV2 LV3 P1 P2 P3 S
N 8 8 8 8 8 8 8 8 8 8 8 8 6
Mean (2017) 2.68 2.16 1.14 -12.00 3.22 0.66 0.49 0.32 -6.46 0.04 -0.07 0.09 86.41
Std. Dev. (2017) 2.64 1.98 1.38 14.02 1.09 0.28 0.34 0.31 10.10 0.04 0.45 0.09 127.94
Mean (2018) 2.45 1.95 0.82 -9.60 3.24 0.66 0.44 0.25 -3.41 0.04 0.06 0.10 -8.01
Std. Dev. (2018) 1.78 1.31 0.89 10.22 1.06 0.32 0.29 0.22 6.83 0.05 0.14 0.12 52.77
Negative Ranks 3 3 3 4 4 3 2 4 3 1 2 2 5
Positive Ranks 5 5 5 4 4 4 5 2 5 5 6 3 1
Ties 0 0 0 0 0 1 1 2 0 2 0 3 0
Z -0.140 -0.140 -0.140 -0.911 -0.280 -0.423 -0.169 -1.572 -1.680 -0.970 -1.404 -0.412 -1.153
p 0.889 0.889 0.889 0.362 0.779 0.672 0.866 0.116 0.093 0.332 0.160 0.680 0.249
Table 6. The Results of the Wilcoxon Signed-Rank Tests for the COVID-19 Pandemic.
Table 6. The Results of the Wilcoxon Signed-Rank Tests for the COVID-19 Pandemic.
Values L1 L2 L3 T1 T2 T3 LV1 LV2 LV3 P1 P2 P3 S
N 8 8 8 8 8 8 8 8 8 8 8 8 7
Mean (2019) 2.05 1.72 0.80 -9.11 3.15 0.57 0.48 0.30 -5.76 0.06 0.14 0.15 55.45
Std. Dev. (2019) 1.29 1.15 0.77 9.62 1.49 0.34 0.31 0.30 8.79 0.05 0.08 0.10 62.79
Mean (2020) 1.80 1.51 0.86 -7.69 3.21 0.60 0.49 0.25 -6.63 0.12 0.23 0.20 325.16
Std. Dev. (2020) 1.15 0.98 0.96 8.52 1.52 0.28 0.25 0.28 7.56 0.11 0.15 0.16 408.11
Negative Ranks 3 3 3 3 4 6 4 5 5 1 1 1 2
Positive Ranks 5 5 5 5 3 2 3 1 3 6 7 6 5
Ties 0 0 0 0 1 0 1 2 0 1 0 1 0
Z -0.280 -0.421 -0.631 -1.120 0.000 -1.193 -0.085 -1.156 -0.561 -1.690 -1.895 -1.183 -1.859
p 0.779 0.674 0.528 0.263 1.000 0.233 0.933 0.248 0.575 0.091 0.058 0.237 0.063
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