Lululemon Athletica (LULU) Goodwill & Intangibles (2010 - 2026)
Lululemon Athletica (LULU) recorded Goodwill & Intangibles of $188.37 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 3.4% from $182.22 million a year earlier but down 0.5% from the prior quarter.
Lululemon Athletica (LULU) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica reported Goodwill & Intangibles of $191.19 million, up 11.7% from FY2025.
- Annual Goodwill & Intangibles has a five-year compound annual growth rate of -16.4% (FY2021 to FY2026).
- Across earlier fiscal years, Goodwill & Intangibles came in at $171.19 million in FY2025 (+610.8%), $24.08 million in FY2024 (-47.8%), $46.11 million in FY2023 (-89.9%) and $458.18 million in FY2022 (-1.9%).
- Quarterly Goodwill & Intangibles has ranged from $23.91 million in fiscal Q3 2024 to $460.56 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Goodwill & Intangibles has increased for eight consecutive quarters, with growth averaging 323.0% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 661.6% in fiscal Q2 2026, against a decline of 94.7% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $189.36 million (Q1 2027), $191.19 million (Q4 2026) and $182.99 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn |
| 10 | Crocs | 5.73 Bn | 5.15 Bn | 700.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 188.37 Mn |
| May 3, 2026 | 189.36 Mn |
| Feb 1, 2026 | 191.19 Mn |
| Nov 2, 2025 | 182.99 Mn |
| Aug 3, 2025 | 182.22 Mn |
| May 4, 2025 | 178.00 Mn |
| Feb 2, 2025 | 171.19 Mn |
| Oct 27, 2024 | 178.19 Mn |
| Jul 28, 2024 | 23.93 Mn |
| Apr 28, 2024 | 23.99 Mn |
| Jan 28, 2024 | 24.08 Mn |
| Oct 29, 2023 | 23.91 Mn |
| Jul 30, 2023 | 42.38 Mn |
| Apr 30, 2023 | 44.12 Mn |
| Jan 29, 2023 | 46.11 Mn |
| Oct 30, 2022 | 451.23 Mn |
| Jul 31, 2022 | 453.78 Mn |
| May 1, 2022 | 455.94 Mn |
| Jan 30, 2022 | 458.18 Mn |
| Oct 31, 2021 | 460.56 Mn |
Lululemon Athletica Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();