Lululemon Athletica (LULU) Revenue (2009 - 2026)
Lululemon Athletica (LULU) posted Revenue of $2.4 billion for Q3 2026, down 2.26% on a QoQ basis from $2.5 billion in Q2 2026, and down 4.34% year-over-year from $2.5 billion in Q3 2025.
Lululemon Athletica (LULU) Revenue (2009 - 2026) Analysis & Trends
Lululemon Athletica has reported Revenue for 18 years, with the latest figure at $2.4 billion in Q3 2026.
- On a quarterly basis, Revenue fell 4.34% year-over-year to $2.4 billion in Q3 2026; TTM through Aug 2026 was $11.1 billion, a 1.74% increase from a year earlier, with the FY2026 full-year figure at $11.1 billion, up 4.86% from the prior year.
- Revenue was $2.4 billion for Q3 2026 at Lululemon Athletica, down from $2.5 billion in the prior quarter.
- The five-year high for Revenue was $3.6 billion in Q1 2026, with the low at $1.6 billion in Q2 2022.
- Average Revenue over 5 years is $2.4 billion, with a median of $2.4 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Revenue soared 31.55% in 2022, then retreated 4.34% in 2026.
- Over 5 years, Revenue stood at $1.9 billion in 2022, then climbed by 18.7% to $2.2 billion in 2023, then increased by 8.73% to $2.4 billion in 2024, then rose by 7.06% to $2.6 billion in 2025, then slipped by 5.86% to $2.4 billion in 2026.
- The last three Revenue figures came in at $2.4 billion (Q3 2026), $2.5 billion (Q2 2026), and $3.6 billion (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 2.42 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 1.56 Bn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 1.58 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.67 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 584.29 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 2.10 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 614.36 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 235.51 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 196.62 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 2.42 Bn |
| May 3, 2026 | 2.47 Bn |
| Feb 1, 2026 | 3.64 Bn |
| Nov 2, 2025 | 2.57 Bn |
| Aug 3, 2025 | 2.53 Bn |
| May 4, 2025 | 2.37 Bn |
| Feb 2, 2025 | 3.61 Bn |
| Oct 27, 2024 | 2.40 Bn |
| Jul 28, 2024 | 2.37 Bn |
| Apr 28, 2024 | 2.21 Bn |
| Jan 28, 2024 | 3.21 Bn |
| Oct 29, 2023 | 2.20 Bn |
| Jul 30, 2023 | 2.21 Bn |
| Apr 30, 2023 | 2.00 Bn |
| Jan 29, 2023 | 2.77 Bn |
| Oct 30, 2022 | 1.86 Bn |
| Jul 31, 2022 | 1.87 Bn |
| May 1, 2022 | 1.61 Bn |
| Jan 30, 2022 | 2.13 Bn |
| Oct 31, 2021 | 1.45 Bn |
Lululemon Athletica Revenue 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=revenue&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();