Lululemon Athletica (LULU) Total Liabilities (2010 - 2026)
Lululemon Athletica (LULU) posted Total Liabilities of $3.69 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 17.8% from $3.14 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Lululemon Athletica (LULU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica's Total Liabilities came in at $3.49 billion, up 6.6% from FY2025.
- Annual Total Liabilities has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 16.5% (FY2021 to FY2026).
- In prior fiscal years, Lululemon Athletica's Total Liabilities was $3.28 billion in FY2025 (+14.7%), $2.86 billion in FY2024 (+16.3%), $2.46 billion in FY2023 (+11.6%) and $2.2 billion in FY2022 (+35.4%).
- Quarterly Total Liabilities has run from a low of $1.91 billion in fiscal Q3 2022 to a high of $3.71 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 37 quarters, with growth averaging 16.1% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 6.6% (fiscal Q4 2026) and 35.4% (fiscal Q4 2022) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $3.71 billion (Q1 2027), $3.49 billion (Q4 2026) and $3.45 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.97 Bn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 7.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3.69 Bn |
| May 3, 2026 | 3.71 Bn |
| Feb 1, 2026 | 3.49 Bn |
| Nov 2, 2025 | 3.45 Bn |
| Aug 3, 2025 | 3.14 Bn |
| May 4, 2025 | 3.14 Bn |
| Feb 2, 2025 | 3.28 Bn |
| Oct 27, 2024 | 3.10 Bn |
| Jul 28, 2024 | 2.71 Bn |
| Apr 28, 2024 | 2.61 Bn |
| Jan 28, 2024 | 2.86 Bn |
| Oct 29, 2023 | 2.50 Bn |
| Jul 30, 2023 | 2.46 Bn |
| Apr 30, 2023 | 2.25 Bn |
| Jan 29, 2023 | 2.46 Bn |
| Oct 30, 2022 | 2.27 Bn |
| Jul 31, 2022 | 2.06 Bn |
| May 1, 2022 | 2.03 Bn |
| Jan 30, 2022 | 2.20 Bn |
| Oct 31, 2021 | 1.91 Bn |
API Access
Lululemon Athletica Total Liabilities 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=total-liabilities&ticker=LULU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();