Lululemon Athletica (LULU) Non-Current Assets (2010 - 2026)
Lululemon Athletica's Non-Current Assets came in at $4.54 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 13.6% from $3.99 billion a year earlier and unchanged from the prior quarter.
Lululemon Athletica (LULU) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica's Non-Current Assets was $4.19 billion, up 15.8% from FY2025.
- Non-Current Assets has increased in each of the last 16 fiscal years, with a five-year compound annual growth rate of 15.3% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $3.62 billion in FY2025 (+19.5%), $3.03 billion in FY2024 (+23.9%), $2.45 billion in FY2023 (+5.2%) and $2.33 billion in FY2022 (+12.9%).
- The fiscal Q2 2027 figure represents the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- Year-over-year, Non-Current Assets has increased for 11 consecutive quarters, with growth averaging 20.7% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2025 (growth of 30.9%), and the weakest in fiscal Q3 2024 (a decline of 0.7%).
- Business Quant data shows LULU's Non-Current Assets at $4.54 billion (Q1 2027), $4.19 billion (Q4 2026) and $4.03 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 13.81 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 3.66 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 5.52 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 4.39 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 3.27 Bn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 5.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 4.54 Bn |
| May 3, 2026 | 4.54 Bn |
| Feb 1, 2026 | 4.19 Bn |
| Nov 2, 2025 | 4.03 Bn |
| Aug 3, 2025 | 3.99 Bn |
| May 4, 2025 | 3.85 Bn |
| Feb 2, 2025 | 3.62 Bn |
| Oct 27, 2024 | 3.48 Bn |
| Jul 28, 2024 | 3.17 Bn |
| Apr 28, 2024 | 3.06 Bn |
| Jan 28, 2024 | 3.03 Bn |
| Oct 29, 2023 | 2.66 Bn |
| Jul 30, 2023 | 2.67 Bn |
| Apr 30, 2023 | 2.52 Bn |
| Jan 29, 2023 | 2.45 Bn |
| Oct 30, 2022 | 2.68 Bn |
| Jul 31, 2022 | 2.53 Bn |
| May 1, 2022 | 2.39 Bn |
| Jan 30, 2022 | 2.33 Bn |
| Oct 31, 2021 | 2.26 Bn |
Lululemon Athletica Non-Current 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=non-current-assets&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();