Analysts expect Amass Brands to report revenue of 4.22 M for Q3 26, against a range of 3.92 M to 4.51 M. The most recent reported quarter, Q2 26, came in at 5.59 M, a 7.2% miss against the 6.02 M consensus.
| Metric | Q1 26 | Q2 26 | Q3 26 | Q4 26 |
|---|---|---|---|---|
| Reported (Actual) | 4.15 M | 5.59 M | - | - |
| High Estimate | - | 6.60 M | 4.51 M | 5.04 M |
| Low Estimate | - | 5.44 M | 3.92 M | 4.12 M |
| Consensus Estimate | - | 6.02 M | 4.22 M | 4.58 M |
Analysts expect Amass Brands to report earnings per share of -0.34 for Q3 26, against a range of -0.37 to -0.31. The most recent reported quarter, Q2 26, came in at -0.69, a 165.4% miss against the -0.26 consensus.
| Metric | Q1 26 | Q2 26 | Q3 26 | Q4 26 |
|---|---|---|---|---|
| Reported (Actual) | -0.78 | -0.69 | - | - |
| High Estimate | - | -0.24 | -0.31 | -0.39 |
| Low Estimate | - | -0.28 | -0.37 | -0.45 |
| Consensus Estimate | - | -0.26 | -0.34 | -0.42 |
Pull Wall Street consensus for Amass Brands (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=AMSS&mode=revenue&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "AMSS", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/estimates?ticker=AMSS&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();