Analysts expect Lulu's Fashion Lounge Holdings, Inc. to report revenue of 83.14 M for Q3 26, against a range of 76.24 M to 90.04 M. The most recent reported quarter, Q2 26, came in at 67.81 M, a 21.4% miss against the 86.23 M consensus.
| Metric | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | 80.52 M | 66.15 M | 64.16 M | 81.52 M | 73.59 M | 63.02 M | 57.53 M | 67.81 M | - | - | - | - | - | - |
| High Estimate | 78.51 M | 79.80 M | 72.20 M | 82.53 M | 84.51 M | 65.06 M | 65.22 M | 89.51 M | 90.04 M | 66.29 M | 54.51 M | 68.42 M | 77.04 M | 74.35 M |
| Low Estimate | 67.18 M | 67.12 M | 62.86 M | 77.02 M | 74.80 M | 56.91 M | 57.65 M | 82.95 M | 76.24 M | 57.31 M | 49.59 M | 57.56 M | 71.91 M | 61.16 M |
| Consensus Estimate | 72.84 M | 73.46 M | 67.53 M | 79.77 M | 79.65 M | 60.99 M | 61.43 M | 86.23 M | 83.14 M | 61.80 M | 52.05 M | 62.99 M | 74.48 M | 67.75 M |
Analysts expect Lulu's Fashion Lounge Holdings, Inc. to report earnings per share of -0.56 for Q3 26, against a range of -0.59 to -0.53. The most recent reported quarter, Q2 26, came in at -0.52, a 246.7% miss against the -0.15 consensus.
| Metric | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | -2.40 | -11.40 | -2.85 | -1.08 | -0.84 | -0.14 | -1.19 | -0.52 | - | - | - | - | - | - |
| High Estimate | -1.16 | -2.76 | -1.33 | -0.40 | -0.87 | -1.23 | -1.73 | -0.14 | -0.53 | -1.07 | 1.55 | 1.12 | 0.65 | 1.53 |
| Low Estimate | -1.32 | -3.16 | -1.53 | -0.44 | -1.05 | -1.39 | -2.05 | -0.16 | -0.59 | -1.17 | 1.33 | 0.92 | 0.53 | 1.43 |
| Consensus Estimate | -1.24 | -2.96 | -1.43 | -0.42 | -0.96 | -1.31 | -1.89 | -0.15 | -0.56 | -1.12 | 1.44 | 1.02 | 0.59 | 1.48 |
Pull Wall Street consensus for Lulu's Fashion Lounge Holdings, Inc. (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=LVLU&mode=revenue&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "LVLU", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/estimates?ticker=LVLU&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();