Lulu's Fashion Lounge Holdings (LVLU) Cash & Equivalents (2021 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) recorded Cash & Equivalents of $4.12 million in Q2 2026, up 168.8% from $1.53 million a year earlier but down 44.6% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings reported Cash & Equivalents of $2.66 million, down 40.3% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of -35.7% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $4.46 million in FY2024 (+78.0%), $2.51 million in FY2023 (-75.5%), $10.22 million in FY2022 and $15.55 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $1.53 million in Q2 2025 to $12.9 million in Q3 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 14.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 168.8% in Q2 2026, against a decline of 75.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.44 million (Q1 2026), $2.66 million (Q4 2025) and $1.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Lulu's Fashion Lounge Holdings | 41.08 Mn | 24.91 Mn | 32.96 Mn | 4.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.12 Mn |
| Mar 29, 2026 | 7.44 Mn |
| Dec 28, 2025 | 2.66 Mn |
| Sep 28, 2025 | 1.94 Mn |
| Jun 29, 2025 | 1.53 Mn |
| Mar 30, 2025 | 8.62 Mn |
| Dec 29, 2024 | 4.46 Mn |
| Sep 29, 2024 | 6.31 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 2.51 Mn |
| Oct 1, 2023 | 12.90 Mn |
| Jul 2, 2023 | 5.95 Mn |
| Apr 2, 2023 | 7.83 Mn |
| Jan 1, 2023 | 10.22 Mn |
| Oct 2, 2022 | 12.47 Mn |
| Jul 3, 2022 | 8.34 Mn |
| Apr 3, 2022 | 19.43 Mn |
| Jan 2, 2022 | 11.40 Mn |
| Oct 3, 2021 | 40.93 Mn |
Lulu's Fashion Lounge Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();