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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 4.51 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 7.70 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 6.72 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Crocs | 5.83 Bn | 5.24 Bn | 700.71 Mn | 2.97 Bn |
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 |
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_KEY
import 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();