The most recent reported year, 2019, came in at 825.34 M, a 7.4% beat against the 768.54 M consensus.
| Metric | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Reported (Actual) | 956.57 M | 849.98 M | 829.66 M | 825.34 M |
| High Estimate | 1.01 B | 927.95 M | 855.77 M | 830.91 M |
| Low Estimate | 933.77 M | 796.10 M | 737.67 M | 706.16 M |
| Consensus Estimate | 970.07 M | 862.02 M | 796.72 M | 768.54 M |
The most recent reported year, 2019, came in at 1.46, a 5.8% beat against the 1.38 consensus.
| Metric | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Reported (Actual) | 1.72 | 0.82 | 1.23 | 1.46 |
| High Estimate | 1.88 | 0.39 | 1.24 | 1.49 |
| Low Estimate | 1.70 | 0.35 | 1.10 | 1.27 |
| Consensus Estimate | 1.79 | 0.37 | 1.17 | 1.38 |
Pull Wall Street consensus for Cato Corp (high, low and consensus estimates alongside reported actuals) into your own models and apps with the Business Quant Estimates API. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/estimates?ticker=CATO&mode=revenue&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "CATO", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/estimates?ticker=CATO&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();