Lululemon Athletica (LULU) EBIT (2009 - 2026)
Lululemon Athletica (LULU) reported EBIT of $453.65 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 13.4% from $523.81 million a year earlier but up 63.8% from the prior quarter.
Lululemon Athletica (LULU) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Lululemon Athletica's EBIT came in at $1.98 billion, down 20.7% year-over-year; for FY2026 (ended Feb 1, 2026), it was $2.21 billion, down 11.8% from FY2025.
- EBIT has a five-year compound annual growth rate of 21.9% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $2.51 billion in FY2025 (+17.5%), $2.13 billion in FY2024 (+60.5%), $1.33 billion in FY2023 (-0.4%) and $1.33 billion in FY2022 (+62.6%).
- Five-year quarterly EBIT spans a low of $257.95 million in fiscal Q3 2022 and a high of $1.04 billion in fiscal Q4 2025.
- Year over year, EBIT has now declined in each of the last five quarters, with an average decline of 3.2% over the last eight quarters.
- The high point for year-over-year EBIT in five years was fiscal Q4 2024 (growth of 190.7%); the low point was fiscal Q4 2023 (a decline of 46.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $276.95 million (Q1 2027), $812.29 million (Q4 2026) and $435.89 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.89 Bn | 22.09 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.71 Bn | 19.67 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.62 Bn | 14.72 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.58 Bn | 5.45 Bn | - | - |
| 5 | Lululemon Athletica | 11.19 Bn | 5.44 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 8.06 Bn | 4.64 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.65 Bn | 5.57 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.18 Bn | 4.51 Bn | 493.89 Mn | 236.02 Mn |
| 10 | Crocs | 5.94 Bn | 5.35 Bn | 700.71 Mn | 285.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 453.65 Mn |
| May 3, 2026 | 276.95 Mn |
| Feb 1, 2026 | 812.29 Mn |
| Nov 2, 2025 | 435.89 Mn |
| Aug 3, 2025 | 523.81 Mn |
| May 4, 2025 | 438.63 Mn |
| Feb 2, 2025 | 1.04 Bn |
| Oct 27, 2024 | 490.66 Mn |
| Jul 28, 2024 | 540.23 Mn |
| Apr 28, 2024 | 432.64 Mn |
| Jan 28, 2024 | 913.89 Mn |
| Oct 29, 2023 | 338.12 Mn |
| Jul 30, 2023 | 479.26 Mn |
| Apr 30, 2023 | 401.41 Mn |
| Jan 29, 2023 | 314.43 Mn |
| Oct 30, 2022 | 352.43 Mn |
| Jul 31, 2022 | 401.21 Mn |
| May 1, 2022 | 260.35 Mn |
| Jan 30, 2022 | 590.56 Mn |
| Oct 31, 2021 | 257.95 Mn |
Lululemon Athletica EBIT 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=ebit&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();