Lululemon Athletica (LULU) Cash & Equivalents (2009 - 2026)
Lululemon Athletica (LULU) reported Cash & Equivalents of $1.39 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 20.2% from $1.16 billion a year earlier but down 8.3% from the prior quarter.
Lululemon Athletica (LULU) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica posted Cash & Equivalents of $1.81 billion, down 8.9% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $1.98 billion in FY2025 (-11.6%), $2.24 billion in FY2024 (+94.3%), $1.15 billion in FY2023 (-8.3%) and $1.26 billion in FY2022 (+9.5%).
- Five-year quarterly Cash & Equivalents spans a low of $352.62 million in fiscal Q3 2023 and a high of $2.24 billion in fiscal Q4 2024.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with an average decline of 6.0%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2024 (growth of 209.4%); the low point was fiscal Q3 2023 (a decline of 64.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.51 billion (Q1 2027), $1.81 billion (Q4 2026) and $1.04 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 1.72 Bn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 974.70 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 641.40 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 268.30 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 670.06 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Crocs | 5.73 Bn | 5.15 Bn | 700.71 Mn | 170.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.39 Bn |
| May 3, 2026 | 1.51 Bn |
| Feb 1, 2026 | 1.81 Bn |
| Nov 2, 2025 | 1.04 Bn |
| Aug 3, 2025 | 1.16 Bn |
| May 4, 2025 | 1.33 Bn |
| Feb 2, 2025 | 1.98 Bn |
| Oct 27, 2024 | 1.19 Bn |
| Jul 28, 2024 | 1.61 Bn |
| Apr 28, 2024 | 1.90 Bn |
| Jan 28, 2024 | 2.24 Bn |
| Oct 29, 2023 | 1.09 Bn |
| Jul 30, 2023 | 1.11 Bn |
| Apr 30, 2023 | 950.61 Mn |
| Jan 29, 2023 | 1.15 Bn |
| Oct 30, 2022 | 352.62 Mn |
| Jul 31, 2022 | 498.83 Mn |
| May 1, 2022 | 649.02 Mn |
| Jan 30, 2022 | 1.26 Bn |
| Oct 31, 2021 | 993.59 Mn |
Lululemon Athletica 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=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();