This study tests for a structural shift in the relationship between revenues of ski lift operators and natural snow conditions. The analysis is based on time series data for the Swedish ski lift industry spanning from 1980 to 2017. Since 1970, snow depth in winter sport destinations has decreased markedly by about 5 cm per decade. Estimations based on the autoregressive distributed lag (ARDL) model show that revenues (in constant prices) of ski lift operators are significantly positively related to natural snow conditions, given the impact of relative prices and real GDP. However, ARDL estimations with rolling windows reveal that the sensitivity of revenues from ski lift ticket sales to variations in snow depth is declining over time. For the subsamples starting at the end of 1980s onward, revenues no longer significantly depend on natural snow depth. This is likely due to the implementation of adaptation measures such as investments in snowmaking facilities. © 2018, The Author(s) 2018.