Lululemon Athletica (LULU) Gross Margin (2009 - 2026)
Lululemon Athletica's Gross Margin was 60.52% in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 2.02 percentage points from 58.50% a year earlier and up 6.35 percentage points from the prior quarter.
Lululemon Athletica (LULU) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lululemon Athletica's Gross Margin was 56.11% through Aug 2, 2026, down 2.99 percentage points year-over-year; for FY2026 (ended Feb 1, 2026), it came in at 56.60%, down 2.62 percentage points from FY2025.
- Gross Margin shows a five-year change of +0.62 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 59.22% in FY2025 (+0.91 pp), 58.31% in FY2024 (+2.93 pp), 55.39% in FY2023 (-2.29 pp) and 57.68% in FY2022 (+1.70 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Gross Margin in data going back to fiscal Q2 2010.
- Compared with a year earlier, Gross Margin was higher in four of the last eight quarters, with an average year-over-year change of -1.07 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q4 2024 (a gain of 4.28 percentage points); the worst was fiscal Q4 2026 (a drop of 5.54 percentage points).
- Per Business Quant data, LULU's Gross Margin in the three fiscal quarters before Q2 2027 was 54.17% (Q1 2027), 54.87% (Q4 2026) and 55.57% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.41% |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 54.93% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 60.52% |
| May 3, 2026 | 54.17% |
| Feb 1, 2026 | 54.87% |
| Nov 2, 2025 | 55.57% |
| Aug 3, 2025 | 58.50% |
| May 4, 2025 | 58.34% |
| Feb 2, 2025 | 60.42% |
| Oct 27, 2024 | 58.48% |
| Jul 28, 2024 | 59.56% |
| Apr 28, 2024 | 57.72% |
| Jan 28, 2024 | 59.39% |
| Oct 29, 2023 | 57.01% |
| Jul 30, 2023 | 58.78% |
| Apr 30, 2023 | 57.52% |
| Jan 29, 2023 | 55.11% |
| Oct 30, 2022 | 55.95% |
| Jul 31, 2022 | 56.49% |
| May 1, 2022 | 53.95% |
| Jan 30, 2022 | 58.06% |
| Oct 31, 2021 | 57.18% |
Lululemon Athletica Gross Margin 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=gross-margin&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();