Three tests for the presence of cycles in univariate time series are proposed. The asymptotic distribution of the tests is derived using the properties of the integrated spectrum. The small sample power of the tests is computed using simulated data. The tests are applied to US data to detect the existence of significant seasonal and of other types of periodic fluctuations.