Lululemon Athletica (LULU) Other Accumulated Expenses (2010 - 2026)
Lululemon Athletica (LULU) posted Other Accumulated Expenses of $35.9 million for Q3 2026, down 4.4% on a QoQ basis from $37.6 million in Q2 2026, and up 5.11% year-over-year from $34.2 million in Q3 2025.
Lululemon Athletica (LULU) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
Lululemon Athletica has reported Other Accumulated Expenses for 17 years, with the latest figure at $35.9 million in Q3 2026.
- On a quarterly basis, Other Accumulated Expenses rose 5.11% year-over-year to $35.9 million in Q3 2026; TTM through Aug 2026 was $35.9 million, a 5.11% increase from a year earlier, with the FY2026 full-year figure at $46.0 million, up 22.26% from the prior year.
- Other Accumulated Expenses was $35.9 million for Q3 2026 at Lululemon Athletica, down from $37.6 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $48.8 million in Q1 2022, with the low at $29.1 million in Q3 2022.
- Average Other Accumulated Expenses over 5 years is $38.4 million, with a median of $37.7 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Other Accumulated Expenses surged 106.98% in 2022, then fell 24.34% in 2024.
- Over 5 years, Other Accumulated Expenses stood at $39.8 million in 2022, then decreased by 5.09% to $37.7 million in 2023, then gained by 6.75% to $40.3 million in 2024, then rose by 20.37% to $48.5 million in 2025, then dropped by 25.9% to $35.9 million in 2026.
- The last three Other Accumulated Expenses figures came in at $35.9 million (Q3 2026), $37.6 million (Q2 2026), and $46.0 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 | 35.93 Mn |
| May 3, 2026 | 37.59 Mn |
| Feb 1, 2026 | 45.95 Mn |
| Nov 2, 2025 | 48.49 Mn |
| Aug 3, 2025 | 34.19 Mn |
| May 4, 2025 | 33.00 Mn |
| Feb 2, 2025 | 37.59 Mn |
| Oct 27, 2024 | 40.29 Mn |
| Jul 28, 2024 | 32.13 Mn |
| Apr 28, 2024 | 38.78 Mn |
| Jan 28, 2024 | 40.31 Mn |
| Oct 29, 2023 | 37.74 Mn |
| Jul 30, 2023 | 42.46 Mn |
| Apr 30, 2023 | 36.81 Mn |
| Jan 29, 2023 | 38.41 Mn |
| Oct 30, 2022 | 39.76 Mn |
| Jul 31, 2022 | 29.06 Mn |
| May 1, 2022 | 31.92 Mn |
| Jan 30, 2022 | 48.84 Mn |
| Oct 31, 2021 | 28.36 Mn |
Lululemon Athletica Other 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=other-accumulated-expenses&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();