Lululemon Athletica (LULU) EBITDA (2009 - 2026)
Lululemon Athletica's EBITDA came in at $595.99 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 7.4% from $643.53 million a year earlier but up 44.6% from the prior quarter.
Lululemon Athletica (LULU) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Lululemon Athletica reported EBITDA of $2.52 billion, down 15.4% year-over-year; for FY2026 (ended Feb 1, 2026), it was $2.71 billion, down 8.3% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 21.9% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $2.95 billion in FY2025 (+17.5%), $2.51 billion in FY2024 (+55.0%), $1.62 billion in FY2023 (+4.0%) and $1.56 billion in FY2022 (+54.9%).
- The five-year range for quarterly EBITDA is $315.91 million (fiscal Q3 2022) to $1.18 billion (fiscal Q4 2025).
- Year-over-year, EBITDA has declined for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2024 (growth of 157.8%), and the weakest in fiscal Q4 2023 (a decline of 39.5%).
- Business Quant data shows LULU's EBITDA at $412.28 million (Q1 2027), $946.82 million (Q4 2026) and $563.35 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -25.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 595.99 Mn |
| May 3, 2026 | 412.28 Mn |
| Feb 1, 2026 | 946.82 Mn |
| Nov 2, 2025 | 563.35 Mn |
| Aug 3, 2025 | 643.53 Mn |
| May 4, 2025 | 553.15 Mn |
| Feb 2, 2025 | 1.18 Bn |
| Oct 27, 2024 | 604.26 Mn |
| Jul 28, 2024 | 643.80 Mn |
| Apr 28, 2024 | 528.40 Mn |
| Jan 28, 2024 | 1.02 Bn |
| Oct 29, 2023 | 436.08 Mn |
| Jul 30, 2023 | 573.27 Mn |
| Apr 30, 2023 | 485.53 Mn |
| Jan 29, 2023 | 394.59 Mn |
| Oct 30, 2022 | 431.62 Mn |
| Jul 31, 2022 | 469.18 Mn |
| May 1, 2022 | 324.82 Mn |
| Jan 30, 2022 | 652.68 Mn |
| Oct 31, 2021 | 315.91 Mn |
Lululemon Athletica EBITDA 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=ebitda&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();