Lulu's Fashion Lounge Holdings (LVLU) Cost of Revenue (2020 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) posted Cost of Revenue of $34.85 million for Q2 2026, down 21.8% from $44.59 million a year earlier but up 10.4% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Cost of Revenue at Lulu's Fashion Lounge Holdings was $143.76 million, down 17.3% year-over-year; for FY2025, it came in at $160.23 million, down 13.7% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, though with a four-year compound annual growth rate of 3.7% (FY2021 to FY2025).
- In prior years, Lulu's Fashion Lounge Holdings' Cost of Revenue was $185.64 million in FY2024 (-10.3%), $206.95 million in FY2023 (-16.6%), $248.21 million in FY2022 and $138.36 million in FY2021.
- Quarterly Cost of Revenue has run from a low of $31.58 million in Q1 2026 to a high of $102.65 million in Q4 2022 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last seven quarters, with an average decline of 13.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2024, with growth of 0.6%; the weakest was Q4 2023, with a decline of 55.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $31.58 million (Q1 2026), $35.1 million (Q4 2025) and $42.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 41.08 Mn | 24.91 Mn | 32.96 Mn | 34.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 34.85 Mn |
| Mar 29, 2026 | 31.58 Mn |
| Dec 28, 2025 | 35.10 Mn |
| Sep 28, 2025 | 42.23 Mn |
| Jun 29, 2025 | 44.59 Mn |
| Mar 30, 2025 | 38.31 Mn |
| Dec 29, 2024 | 41.08 Mn |
| Sep 29, 2024 | 49.87 Mn |
| Jun 30, 2024 | 50.08 Mn |
| Mar 31, 2024 | 44.61 Mn |
| Dec 31, 2023 | 45.62 Mn |
| Oct 1, 2023 | 49.59 Mn |
| Jul 2, 2023 | 58.73 Mn |
| Apr 2, 2023 | 53.02 Mn |
| Jan 1, 2023 | 102.65 Mn |
| Oct 2, 2022 | 60.94 Mn |
| Jul 3, 2022 | 71.35 Mn |
| Apr 3, 2022 | 58.92 Mn |
| Oct 3, 2021 | 55.55 Mn |
| Jul 4, 2021 | 52.15 Mn |
Lulu's Fashion Lounge Holdings Cost of Revenue 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=cost-of-revenue&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();