Decisions made by publicly traded agribusinesses impact suppliers, processors, farmers, and even rural communities. Professional analysts’ estimates of earnings per share (EPS) provide a unique source of information regarding firm-level financial performance. Incorporating a battery of tests, this research examines the forecast properties of consensus analysts’ EPS estimates reported in the Institutional Brokers Estimate System for a sample of publicly traded food companies. While the results are mixed among firms, they suggest 1) analysts forecasts are largely unbiased but inefficient, and may not encompass information in simple time series models, and 2) EPS may be becoming more difficult to estimate.