JB Hunt Transport Services is set to announce its earnings on Tuesday, April 15, 2025. For the upcoming quarter, consensus estimates forecast earnings of $1.15 per share on revenue of $2.91 billion. This compares to earnings of $1.22 per share on revenue of $2.94 billion in the same quarter last year. JBHT currently holds a market capitalization of $14 billion. Over the past twelve months, the company reported $12 billion in revenue, along with $831 million in operating profits and $571 million in net income.
Although JBHT stock rebounded significantly after President Trump declared a 90-day pause on reciprocal tariffs, the stock remains down 17% year-to-date. This drop is largely driven by the broader market sell-off, exacerbated by wider macroeconomic concerns. President Donald Trump’s sweeping tariffs on imports from more than 100 countries have intensified fears about potential economic downturns and reduced consumer spending. As a result, the logistics sector faces a tough environment marked by weakening demand and heightened economic uncertainty.
While the outcome will depend heavily on how the results compare with market expectations, historical performance trends can offer valuable insights for event-driven traders. There are two key strategies to consider: either analyze historical odds and establish a position ahead of earnings, or examine post-earnings return patterns and trade based on observed correlations in short- and medium-term returns.
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JB Hunt Transport Services’s Historical Odds Of Positive Post-Earnings Return
Some key observations on one-day (1D) post-earnings returns:
- Over the past five years, there are 20 data points, with 11 positive and 9 negative one-day (1D) returns, indicating a 55% likelihood of positive returns.
- When narrowing the timeframe to the past 3 years, the probability of a positive return decreases slightly to 50%.
- The median return of the 11 positive instances is 1.4%, while the 9 negative instances show a median return of -1.8%.
Further data on 5-Day (5D) and 21-Day (21D) post-earnings returns is summarized in the table below.
Correlation Between 1D, 5D, and 21D Historical Returns
An alternative approach with potentially lower risk (provided correlations are meaningful) involves analyzing the relationship between short- and medium-term returns. Identifying the pair with the strongest correlation allows traders to act accordingly. For example, if 1D and 5D returns show a strong correlation, a trader might go “long” for 5 days following a positive 1D return. The following data shows correlations over the past 5 years and 3 years. “1D_5D” refers to the correlation between 1-day and 5-day post-earnings returns.
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