Lulu's Fashion Lounge Holdings (LVLU) Return on Sales [ROS] (2020 - 2026)
Lulu's Fashion Lounge Holdings' Return on Sales [ROS] was -1.83% in Q2 2026, up 1.38 percentage points from -3.22% a year earlier and up 4.33 percentage points from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lulu's Fashion Lounge Holdings' Return on Sales [ROS] was -2.55% through Jun 28, 2026, up 15.41 percentage points year-over-year; for FY2025, it was -4.47%, up 12.11 percentage points from FY2024.
- Return on Sales [ROS] shows a four-year change of -2.59 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was -16.58% in FY2024 (-10.89 pp), -5.69% in FY2023 (-7.68 pp), 1.99% in FY2022 and -1.88% in FY2021.
- Quarterly Return on Sales [ROS] has moved between -52.79% (Q4 2024) and 0.06% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +2.32 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 52.85 percentage points); the worst was Q4 2024 (a drop of 42.39 percentage points).
- Per Business Quant data, LVLU's Return on Sales [ROS] in the three quarters before Q2 2026 was -6.17% (Q1 2026), 0.06% (Q4 2025) and -2.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Lulu's Fashion Lounge Holdings | 41.08 Mn | 24.91 Mn | 32.96 Mn | -1.83% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -1.83% |
| Mar 29, 2026 | -6.17% |
| Dec 28, 2025 | 0.06% |
| Sep 28, 2025 | -2.62% |
| Jun 29, 2025 | -3.22% |
| Mar 30, 2025 | -12.65% |
| Dec 29, 2024 | -52.79% |
| Sep 29, 2024 | -8.50% |
| Jun 30, 2024 | -4.86% |
| Mar 31, 2024 | -7.97% |
| Dec 31, 2023 | -10.40% |
| Oct 1, 2023 | -5.87% |
| Jul 2, 2023 | -1.57% |
| Apr 2, 2023 | -6.46% |
| Jan 1, 2023 | -11.27% |
| Oct 2, 2022 | 0.53% |
| Jul 3, 2022 | 8.31% |
| Apr 3, 2022 | 2.91% |
| Oct 3, 2021 | 8.52% |
| Jul 4, 2021 | 14.68% |
Lulu's Fashion Lounge Holdings Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LVLU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();