The most recent reported quarter, Q4 25, came in at 71.40 M, a 9.8% miss against the 79.16 M consensus.
| Metric | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 |
|---|---|---|---|---|---|
| Reported (Actual) | 77.15 M | 71.10 M | 70.10 M | 69.40 M | 71.40 M |
| High Estimate | - | 78.25 M | 82.30 M | 76.68 M | 81.61 M |
| Low Estimate | - | 70.27 M | 67.99 M | 67.08 M | 76.72 M |
| Consensus Estimate | - | 74.26 M | 75.15 M | 71.88 M | 79.16 M |
The most recent reported quarter, Q4 25, came in at 1.18, a 36.7% miss against the 1.87 consensus.
| Metric | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 |
|---|---|---|---|---|---|
| Reported (Actual) | 1.95 | 1.08 | 0.85 | 0.24 | 1.18 |
| High Estimate | - | 1.95 | 2.01 | 1.91 | 2.02 |
| Low Estimate | - | 1.71 | 1.65 | 1.75 | 1.72 |
| Consensus Estimate | - | 1.83 | 1.83 | 1.83 | 1.87 |
Pull Wall Street consensus for Kewaunee Scientific Corp /De/ (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=KEQU&mode=revenue&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "KEQU", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/estimates?ticker=KEQU&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();