Lululemon Athletica (LULU) Prepaid Assets (2010 - 2026)
Lululemon Athletica (LULU) posted Prepaid Assets of $479.95 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 48.5% from $323.23 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Lululemon Athletica (LULU) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica's Prepaid Assets came in at $352.47 million, up 40.2% from FY2025.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 20.4% (FY2021 to FY2026).
- In prior fiscal years, Lululemon Athletica's Prepaid Assets was $251.46 million in FY2025 (+36.3%), $184.5 million in FY2024 (-22.7%), $238.67 million in FY2023 (+23.9%) and $192.57 million in FY2022 (+38.4%).
- The fiscal Q2 2027 figure stands as the highest quarterly Prepaid Assets in data going back to fiscal Q4 2010.
- On a year-over-year basis, Prepaid Assets has increased in each of the last seven quarters, with growth averaging 40.9% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q1 2027, with growth of 80.7%; the weakest was fiscal Q4 2024, with a decline of 22.7%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $422.17 million (Q1 2027), $352.47 million (Q4 2026) and $430.3 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();