Lululemon Athletica (LULU) Intangibles (2012 - 2026)
Lululemon Athletica (LULU) posted Intangibles of $2.5 million for Q3 2026, down 42.49% on a QoQ basis from $4.4 million in Q2 2026, and down 72.82% year-over-year from $9.3 million in Q3 2025.
Lululemon Athletica (LULU) Intangibles (2012 - 2026) Analysis & Trends
Lululemon Athletica has reported Intangibles for 9 years, with the latest figure at $2.5 million in Q3 2026.
- On a quarterly basis, Intangibles fell 72.82% year-over-year to $2.5 million in Q3 2026; TTM through Aug 2026 was $2.5 million, a 72.82% decrease from a year earlier, with the FY2026 full-year figure at $6.3 million, down 46.17% from the prior year.
- Intangibles was $2.5 million for Q3 2026 at Lululemon Athletica, down from $4.4 million in the prior quarter.
- The five-year high for Intangibles was $71.3 million in Q1 2022, with the low at $2.5 million in Q3 2026.
- Average Intangibles over 5 years is $26.6 million, with a median of $13.7 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Intangibles dropped 10.97% in 2022, then tumbled 72.82% in 2026.
- Over 5 years, Intangibles stood at $64.7 million in 2022, then plunged by 71.87% to $18.2 million in 2023, then dropped by 24.62% to $13.7 million in 2024, then tumbled by 43.97% to $7.7 million in 2025, then plunged by 67.1% to $2.5 million in 2026.
- The last three Intangibles figures came in at $2.5 million (Q3 2026), $4.4 million (Q2 2026), and $6.3 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 2.53 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 192.80 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 2.99 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.46 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 447.73 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 2.66 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 71.22 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | - |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | - |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 4.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 2.53 Mn |
| May 3, 2026 | 4.40 Mn |
| Feb 1, 2026 | 6.28 Mn |
| Nov 2, 2025 | 7.69 Mn |
| Aug 3, 2025 | 9.31 Mn |
| May 4, 2025 | 10.64 Mn |
| Feb 2, 2025 | 11.67 Mn |
| Oct 27, 2024 | 13.72 Mn |
| Jul 30, 2023 | 18.20 Mn |
| Apr 30, 2023 | 20.08 Mn |
| Jan 29, 2023 | 21.96 Mn |
| Oct 30, 2022 | 64.72 Mn |
| Jul 31, 2022 | 66.91 Mn |
| May 1, 2022 | 69.10 Mn |
| Jan 30, 2022 | 71.30 Mn |
| Oct 31, 2021 | 73.49 Mn |
| Aug 1, 2021 | 75.69 Mn |
| May 2, 2021 | 77.89 Mn |
| Jan 31, 2021 | 80.08 Mn |
| Nov 1, 2020 | 82.28 Mn |
Lululemon Athletica 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=intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();