Lululemon Athletica (LULU) Change in Inventory (2009 - 2026)
Lululemon Athletica (LULU) reported Change in Inventory of $37.99 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 40.2% from $63.58 million a year earlier.
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Analysis
Lululemon Athletica (LULU) Change in Inventory (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Lululemon Athletica's Change in Inventory came in at -$34.84 million; for FY2026 (ended Feb 1, 2026), it was $188.71 million, up 20.9% from FY2025.
- Change in Inventory has a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- By fiscal year, Change in Inventory came in at $156.09 million in FY2025, -$66.58 million in FY2024, $573.44 million in FY2023 (+77.2%) and $323.61 million in FY2022 (+235.2%).
- Five-year quarterly Change in Inventory spans a low of -$368.39 million in fiscal Q4 2024 and a high of $351.61 million in fiscal Q3 2025.
- Year over year, Change in Inventory gained in two of the last five quarters, with growth averaging 141.5%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q3 2025 (growth of 419.0%); the low point was fiscal Q3 2024 (a decline of 78.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$23.64 million (Q1 2027), -$328.77 million (Q4 2026) and $279.58 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 312.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | -19.10 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 156.30 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 37.99 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 537.01 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | -8.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 37.99 Mn |
| May 3, 2026 | -23.64 Mn |
| Feb 1, 2026 | -328.77 Mn |
| Nov 2, 2025 | 279.58 Mn |
| Aug 3, 2025 | 63.58 Mn |
| May 4, 2025 | 174.32 Mn |
| Feb 2, 2025 | -321.60 Mn |
| Oct 27, 2024 | 351.61 Mn |
| Jul 28, 2024 | 89.65 Mn |
| Apr 28, 2024 | 36.43 Mn |
| Jan 28, 2024 | -368.39 Mn |
| Oct 29, 2023 | 67.75 Mn |
| Jul 30, 2023 | 78.88 Mn |
| Apr 30, 2023 | 155.17 Mn |
| Jan 29, 2023 | -258.59 Mn |
| Oct 30, 2022 | 321.46 Mn |
| Jul 31, 2022 | 189.96 Mn |
| May 1, 2022 | 320.61 Mn |
| Jan 30, 2022 | 34.79 Mn |
| Oct 31, 2021 | 151.46 Mn |
API Access
Lululemon Athletica Change in Inventory 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=change-in-inventory&ticker=LULU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();