Lululemon Athletica (LULU) Accumulated Expenses (2010 - 2026)
Lululemon Athletica (LULU) posted Accumulated Expenses of $584.9 million for Q3 2026, little changed on a QoQ basis from $586.3 million in Q2 2026, and up 37.97% year-over-year from $423.9 million in Q3 2025.
Lululemon Athletica (LULU) Accumulated Expenses (2010 - 2026) Analysis & Trends
Lululemon Athletica has reported Accumulated Expenses for 17 years, with the latest figure at $584.9 million in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 37.97% year-over-year to $584.9 million in Q3 2026; TTM through Aug 2026 was $584.9 million, a 37.97% increase from a year earlier, with the FY2026 full-year figure at $663.0 million, up 18.5% from the prior year.
- Accumulated Expenses was $584.9 million for Q3 2026 at Lululemon Athletica, roughly flat from $586.3 million in the prior quarter.
- The five-year high for Accumulated Expenses was $663.0 million in Q1 2026, with the low at $330.8 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $450.4 million, with a median of $399.2 million recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Accumulated Expenses fell 12.69% in 2024, then jumped 60.51% in 2025.
- Over 5 years, Accumulated Expenses stood at $357.4 million in 2022, then advanced by 9.96% to $392.9 million in 2023, then jumped by 42.92% to $561.6 million in 2024, then rose by 10.6% to $621.2 million in 2025, then decreased by 5.83% to $584.9 million in 2026.
- The last three Accumulated Expenses figures came in at $584.9 million (Q3 2026), $586.3 million (Q2 2026), and $663.0 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 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 |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 584.91 Mn |
| May 3, 2026 | 586.32 Mn |
| Feb 1, 2026 | 662.98 Mn |
| Nov 2, 2025 | 621.16 Mn |
| Aug 3, 2025 | 423.93 Mn |
| May 4, 2025 | 507.00 Mn |
| Feb 2, 2025 | 559.46 Mn |
| Oct 27, 2024 | 561.62 Mn |
| Jul 28, 2024 | 396.42 Mn |
| Apr 28, 2024 | 374.45 Mn |
| Jan 28, 2024 | 348.56 Mn |
| Oct 29, 2023 | 392.95 Mn |
| Jul 30, 2023 | 399.18 Mn |
| Apr 30, 2023 | 342.75 Mn |
| Jan 29, 2023 | 399.22 Mn |
| Oct 30, 2022 | 357.37 Mn |
| Jul 31, 2022 | 345.11 Mn |
| May 1, 2022 | 362.94 Mn |
| Jan 30, 2022 | 330.80 Mn |
| Oct 31, 2021 | 314.39 Mn |
Lululemon Athletica Accumulated Expenses 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=accumulated-expenses&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();