Lululemon Athletica (LULU) Accumulated Expenses (2017 - 2026)
Lululemon Athletica (LULU) recorded Accumulated Expenses of $584.91 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 38.0% from $423.93 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Lululemon Athletica (LULU) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica reported Accumulated Expenses of $662.98 million, up 18.5% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 23.9% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $559.46 million in FY2025 (+60.5%), $348.56 million in FY2024 (-12.7%), $399.22 million in FY2023 (+20.7%) and $330.8 million in FY2022 (+45.8%).
- Quarterly Accumulated Expenses has ranged from $314.39 million in fiscal Q3 2022 to $662.98 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 65.2% in fiscal Q3 2022, against a decline of 12.7% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $586.32 million (Q1 2027), $662.98 million (Q4 2026) and $621.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.81 Bn | 22.01 Bn | 4.80 Bn |
| 2 | Tapestry | 22.64 Bn | 18.60 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.61 Bn | 14.71 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.54 Bn | 4.41 Bn | - |
| 5 | Lululemon Athletica | 11.30 Bn | 5.55 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.13 Bn | 4.71 Bn | 1.07 Bn |
| 7 | V F | 6.69 Bn | 3.31 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.44 Bn | 5.36 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.16 Bn | 4.48 Bn | 493.89 Mn |
| 10 | Crocs | 5.85 Bn | 5.27 Bn | 700.71 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();