Lululemon Athletica (LULU) Other Accumulated Expenses (2010 - 2026)
Lululemon Athletica's Other Accumulated Expenses came in at $35.93 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 5.1% from $34.19 million a year earlier but down 4.4% from the prior quarter.
Lululemon Athletica (LULU) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica's Other Accumulated Expenses was $45.95 million, up 22.3% from FY2025.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $37.59 million in FY2025 (-6.8%), $40.31 million in FY2024 (+5.0%), $38.41 million in FY2023 (-21.4%) and $48.84 million in FY2022 (+107.0%).
- The five-year range for quarterly Other Accumulated Expenses is $28.36 million (fiscal Q3 2022) to $48.84 million (fiscal Q4 2022).
- Year-over-year, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q4 2022 (growth of 107.0%), and the weakest in fiscal Q2 2025 (a decline of 24.3%).
- Business Quant data shows LULU's Other Accumulated Expenses at $37.59 million (Q1 2027), $45.95 million (Q4 2026) and $48.49 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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 | 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();