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Background: Studies from different countries have shown that a small number of insured persons (high-cost patients) are responsible for a large portion of health care spending. At the same time, it is assumed that some of these costs could be saved by a better management of this group of people. The aim of this article is to analyze the performance and cost profiles of high-cost patients, to put them in an international comparison, and to derive a better management approach., Methods: Retrospective observation study based on statutory health insurance data from two statutory health insurances for the year 2013., Study Population: top 5 %, as well as top 1 % of the most expensive insured persons. Identification of characteristics of high-cost patients and international comparison with the Netherlands, the USA, Canada, Spain, England and Japan., Results: 5 % of insured persons account for almost half of the total costs and the most expensive 1 % of 22 %. These high-cost patients in Germany are, on average, 20 years older than the general population. Almost every person of the high-cost population was prescribed at least one medication during the study period (99.2 %), and 85.8 % had at least one hospital stay. Hospital care accounts for the biggest part of total costs: 75 % together with drugs. The average per capita costs caused by one of the 5 % most expensive insured persons in the year under review are 20 times higher than that of the other 95 % of insured persons. High-cost patients are generally more multimorbid and have higher mortality rates. The most common diagnoses of these patients are hypertension, lipoprotein metabolism disorder and back pain., Conclusion: Similar to other developed countries, Germany faces the challenge to develop and implement adequate intervention approaches addressing the special requirements of high-cost insured persons. This paper provides a first basis. The analogies of high-cost patients in Germany and other countries illustrate the need for transnational research and intervention approaches on this specific issue. More in-depth work is needed to investigate the potentials of Predictive Modelling and integrated care approaches to the management of this group of insured persons., (Copyright © 2020. Published by Elsevier GmbH.)