Lululemon Athletica (LULU) Amortization - Intangibles (2019 - 2026)
Lululemon Athletica's Amortization - Intangibles was $1.89 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 9.4% from $1.73 million a year earlier and up 0.5% from the prior quarter.
Lululemon Athletica (LULU) Amortization - Intangibles (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lululemon Athletica's Amortization - Intangibles was $7.42 million through Aug 2, 2026, up 21.7% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $7 million, up 155.9% from FY2025.
- Amortization - Intangibles shows a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In earlier fiscal years, Amortization - Intangibles was $2.74 million in FY2025 (-45.4%), $5.01 million in FY2024 (-43.1%), $8.8 million in FY2023 (unchanged) and $8.8 million in FY2022 (+69.2%).
- The fiscal Q2 2027 figure marks the highest quarterly Amortization - Intangibles since fiscal Q4 2023.
- Compared with a year earlier, Amortization - Intangibles has increased for four straight quarters, with growth averaging 17.7% over the last five quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was fiscal Q3 2026 (growth of 58.9%); the worst was fiscal Q3 2024 (a decline of 42.8%).
- Per Business Quant data, LULU's Amortization - Intangibles in the three fiscal quarters before Q2 2027 was $1.88 million (Q1 2027), $1.86 million (Q4 2026) and $1.78 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.89 Mn |
| May 3, 2026 | 1.88 Mn |
| Feb 1, 2026 | 1.86 Mn |
| Nov 2, 2025 | 1.78 Mn |
| Aug 3, 2025 | 1.73 Mn |
| May 4, 2025 | 1.63 Mn |
| Feb 2, 2025 | 1.62 Mn |
| Oct 27, 2024 | 1.12 Mn |
| Oct 29, 2023 | 1.25 Mn |
| Jul 30, 2023 | 1.88 Mn |
| Apr 30, 2023 | 1.88 Mn |
| Jan 29, 2023 | 2.22 Mn |
| Oct 30, 2022 | 2.19 Mn |
| Jul 31, 2022 | 2.20 Mn |
| May 1, 2022 | 2.20 Mn |
| Jan 30, 2022 | 2.22 Mn |
| Oct 31, 2021 | 2.20 Mn |
| Aug 1, 2021 | 2.20 Mn |
| May 2, 2021 | 2.20 Mn |
| Jan 31, 2021 | 2.24 Mn |
Lululemon Athletica Amortization - 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=amortization-intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();