Lands' End (LE) Total Non-Current Liabilities (2013 - 2026)
Lands' End (LE) reported Total Non-Current Liabilities of $452.34 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 21.1% from $573.39 million a year earlier but up 12.6% from the prior quarter.
Lands' End (LE) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Lands' End posted Total Non-Current Liabilities of $504.81 million, down 3.7% from FY2025.
- Total Non-Current Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.5% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $523.97 million in FY2025 (-7.6%), $567.06 million in FY2024 (-18.8%), $698.03 million in FY2023 (+11.7%) and $624.83 million in FY2022 (-6.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $401.72 million in fiscal Q1 2027 and a high of $823.64 million in fiscal Q3 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 9.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2023 (growth of 12.6%); the low point was fiscal Q1 2027 (a decline of 23.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $401.72 million (Q1 2027), $504.81 million (Q4 2026) and $619.44 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,822.88 Bn | 2,339.58 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 310.81 Bn | 304.05 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 160.91 Bn | 138.45 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.18 Bn | 102.14 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.69 Bn | 57.61 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.40 Bn | 63.99 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 51.99 Bn | 50.89 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.80 Bn | 33.29 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Lands' End | 288.26 Mn | 194.98 Mn | 157.02 Mn | 452.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 452.34 Mn |
| May 1, 2026 | 401.72 Mn |
| Jan 30, 2026 | 504.81 Mn |
| Oct 31, 2025 | 619.44 Mn |
| Aug 1, 2025 | 573.39 Mn |
| May 2, 2025 | 528.19 Mn |
| Jan 31, 2025 | 523.97 Mn |
| Nov 1, 2024 | 617.22 Mn |
| Aug 2, 2024 | 573.13 Mn |
| May 3, 2024 | 562.68 Mn |
| Feb 2, 2024 | 567.06 Mn |
| Oct 27, 2023 | 693.40 Mn |
| Jul 28, 2023 | 645.43 Mn |
| Apr 28, 2023 | 616.58 Mn |
| Jan 27, 2023 | 698.03 Mn |
| Oct 28, 2022 | 823.64 Mn |
| Jul 29, 2022 | 799.30 Mn |
| Apr 29, 2022 | 678.21 Mn |
| Jan 28, 2022 | 624.83 Mn |
| Oct 29, 2021 | 735.42 Mn |
Lands' End Total Non-Current 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-non-current-liabilities&ticker=LE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LE", "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-non-current-liabilities&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();