Lululemon Athletica (LULU) Prepaid Assets (2010 - 2026)
Lululemon Athletica (LULU) posted Prepaid Assets of $479.9 million for Q3 2026, up 13.69% on a QoQ basis from $422.2 million in Q2 2026, and up 48.49% year-over-year from $323.2 million in Q3 2025.
Lululemon Athletica (LULU) Prepaid Assets (2010 - 2026) Analysis & Trends
Lululemon Athletica has reported Prepaid Assets for 17 years, with the latest figure at $479.9 million in Q3 2026.
- On a quarterly basis, Prepaid Assets rose 48.49% year-over-year to $479.9 million in Q3 2026; TTM through Aug 2026 was $479.9 million, a 48.49% increase from a year earlier, with the FY2026 full-year figure at $352.5 million, up 40.17% from the prior year.
- Prepaid Assets was $479.9 million for Q3 2026 at Lululemon Athletica, up from $422.2 million in the prior quarter.
- The five-year high for Prepaid Assets was $479.9 million in Q3 2026, with the low at $178.0 million in Q3 2022.
- Average Prepaid Assets over 5 years is $270.9 million, with a median of $238.7 million recorded in 2023.
- The sharpest annual moves came in 2024 and 2026: Prepaid Assets declined 22.7% in 2024, then surged 80.7% in 2026.
- Over 5 years, Prepaid Assets stood at $247.3 million in 2022, then grew by 21.43% to $300.3 million in 2023, then slipped by 14.28% to $257.4 million in 2024, then jumped by 67.18% to $430.3 million in 2025, then rose by 11.54% to $479.9 million in 2026.
- The last three Prepaid Assets figures came in at $479.9 million (Q3 2026), $422.2 million (Q2 2026), and $352.5 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 479.95 Mn |
| May 3, 2026 | 422.17 Mn |
| Feb 1, 2026 | 352.47 Mn |
| Nov 2, 2025 | 430.30 Mn |
| Aug 3, 2025 | 323.23 Mn |
| May 4, 2025 | 233.63 Mn |
| Feb 2, 2025 | 251.46 Mn |
| Oct 27, 2024 | 257.39 Mn |
| Jul 28, 2024 | 210.97 Mn |
| Apr 28, 2024 | 202.84 Mn |
| Jan 28, 2024 | 184.50 Mn |
| Oct 29, 2023 | 300.26 Mn |
| Jul 30, 2023 | 224.92 Mn |
| Apr 30, 2023 | 232.52 Mn |
| Jan 29, 2023 | 238.67 Mn |
| Oct 30, 2022 | 247.28 Mn |
| Jul 31, 2022 | 177.97 Mn |
| May 1, 2022 | 184.51 Mn |
| Jan 30, 2022 | 192.57 Mn |
| Oct 31, 2021 | 157.88 Mn |
Lululemon Athletica Prepaid Assets 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=prepaid-assets&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "LULU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();