Lululemon Athletica (LULU) Asset Utilization Ratio (2010 - 2026)
Lululemon Athletica (LULU) posted Asset Utilization Ratio of 1.3 for Q3 2026, down 1.14% on a QoQ basis from 1.32 in Q2 2026, and down 10.59% year-over-year from 1.46 in Q3 2025.
Lululemon Athletica (LULU) Asset Utilization Ratio (2010 - 2026) Analysis & Trends
Lululemon Athletica has reported Asset Utilization Ratio for 17 years, with the latest figure at 1.3 in Q3 2026.
- On a quarterly basis, Asset Utilization Ratio fell 10.59% year-over-year to 1.3 in Q3 2026; TTM through Aug 2026 was 1.3, a 10.59% decrease from a year earlier, with the FY2026 full-year figure at 1.38, down 4.05% from the prior year.
- Asset Utilization Ratio was 1.3 for Q3 2026 at Lululemon Athletica, down from 1.32 in the prior quarter.
- The five-year high for Asset Utilization Ratio was 1.53 in Q4 2023, with the low at 1.3 in Q3 2026.
- Average Asset Utilization Ratio over 5 years is 1.43, with a median of 1.46 recorded in 2025.
- The sharpest annual moves came in 2022 and 2026: Asset Utilization Ratio rose 17.93% in 2022, then declined 10.59% in 2026.
- Over 5 years, Asset Utilization Ratio stood at 1.46 in 2022, then gained by 4.74% to 1.53 in 2023, then decreased by 3.69% to 1.47 in 2024, then fell by 2.84% to 1.43 in 2025, then fell by 8.87% to 1.3 in 2026.
- The last three Asset Utilization Ratio figures came in at 1.3 (Q3 2026), 1.32 (Q2 2026), and 1.35 (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 1.30 |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 1.00 |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 0.46 |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.01 |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 1.12 |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 0.78 |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 1.27 |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 1.21 |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 1.24 |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 1.16 |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.30 |
| May 3, 2026 | 1.32 |
| Feb 1, 2026 | 1.35 |
| Nov 2, 2025 | 1.43 |
| Aug 3, 2025 | 1.46 |
| May 4, 2025 | 1.43 |
| Feb 2, 2025 | 1.44 |
| Oct 27, 2024 | 1.47 |
| Jul 28, 2024 | 1.47 |
| Apr 28, 2024 | 1.41 |
| Jan 28, 2024 | 1.47 |
| Oct 29, 2023 | 1.53 |
| Jul 30, 2023 | 1.53 |
| Apr 30, 2023 | 1.52 |
| Jan 29, 2023 | 1.49 |
| Oct 30, 2022 | 1.46 |
| Jul 31, 2022 | 1.47 |
| May 1, 2022 | 1.38 |
| Jan 30, 2022 | 1.32 |
| Oct 31, 2021 | 1.30 |
Lululemon Athletica Asset Utilization Ratio 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=asset-utilization-ratio&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();