Lululemon Athletica (LULU) EBT (2009 - 2026)
Lululemon Athletica (LULU) reported EBT of $467.35 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 12.4% from $533.55 million a year earlier but up 63.4% from the prior quarter.
Lululemon Athletica (LULU) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Lululemon Athletica's EBT came in at $2.01 billion, down 21.1% year-over-year; for FY2026 (ended Feb 1, 2026), it was $2.24 billion, down 13.1% from FY2025.
- EBT has a five-year compound annual growth rate of 22.3% (FY2021 to FY2026).
- By fiscal year, EBT came in at $2.58 billion in FY2025 (+18.4%), $2.18 billion in FY2024 (+63.3%), $1.33 billion in FY2023 (-0.1%) and $1.33 billion in FY2022 (+62.8%).
- Five-year quarterly EBT spans a low of $257.96 million in fiscal Q3 2022 and a high of $1.06 billion in fiscal Q4 2025.
- Year over year, EBT has now declined in each of the last six quarters, with an average decline of 3.9% over the last eight quarters.
- The high point for year-over-year EBT in five years was fiscal Q4 2024 (growth of 192.9%); the low point was fiscal Q4 2023 (a decline of 46.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $286.08 million (Q1 2027), $813.27 million (Q4 2026) and $441.74 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.33 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 106.61 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.03 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 263.92 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -106.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 467.35 Mn |
| May 3, 2026 | 286.08 Mn |
| Feb 1, 2026 | 813.27 Mn |
| Nov 2, 2025 | 441.74 Mn |
| Aug 3, 2025 | 533.55 Mn |
| May 4, 2025 | 450.41 Mn |
| Feb 2, 2025 | 1.06 Bn |
| Oct 27, 2024 | 504.40 Mn |
| Jul 28, 2024 | 558.22 Mn |
| Apr 28, 2024 | 455.93 Mn |
| Jan 28, 2024 | 931.72 Mn |
| Oct 29, 2023 | 347.96 Mn |
| Jul 30, 2023 | 486.62 Mn |
| Apr 30, 2023 | 409.44 Mn |
| Jan 29, 2023 | 318.14 Mn |
| Oct 30, 2022 | 352.76 Mn |
| Jul 31, 2022 | 401.35 Mn |
| May 1, 2022 | 260.33 Mn |
| Jan 30, 2022 | 590.73 Mn |
| Oct 31, 2021 | 257.96 Mn |
Lululemon Athletica EBT 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=ebt&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();