Lands' End (LE) Total Liabilities (2013 - 2026)
Lands' End's Total Liabilities came in at $456.7 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 20.6% from $575.52 million a year earlier but up 12.9% from the prior quarter.
Lands' End (LE) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Lands' End's Total Liabilities was $506.77 million, down 3.7% from FY2025.
- Total Liabilities has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $526.26 million in FY2025 (-7.7%), $569.89 million in FY2024 (-18.7%), $701.4 million in FY2023 (+11.3%) and $629.94 million in FY2022 (-6.8%).
- The five-year range for quarterly Total Liabilities is $404.58 million (fiscal Q1 2027) to $827.4 million (fiscal Q3 2023).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 12.3%), and the weakest in fiscal Q1 2027 (a decline of 23.7%).
- Business Quant data shows LE's Total Liabilities at $404.58 million (Q1 2027), $506.77 million (Q4 2026) and $621.65 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,818.03 Bn | 2,334.73 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 311.69 Bn | 304.93 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.10 Bn | 139.65 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.55 Bn | 102.51 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.35 Bn | 72.44 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.60 Bn | 50.50 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.25 Bn | 33.74 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Lands' End | 291.25 Mn | 197.97 Mn | 157.02 Mn | 456.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 456.70 Mn |
| May 1, 2026 | 404.58 Mn |
| Jan 30, 2026 | 506.77 Mn |
| Oct 31, 2025 | 621.65 Mn |
| Aug 1, 2025 | 575.52 Mn |
| May 2, 2025 | 530.36 Mn |
| Jan 31, 2025 | 526.26 Mn |
| Nov 1, 2024 | 619.93 Mn |
| Aug 2, 2024 | 576.00 Mn |
| May 3, 2024 | 565.51 Mn |
| Feb 2, 2024 | 569.89 Mn |
| Oct 27, 2023 | 696.66 Mn |
| Jul 28, 2023 | 648.71 Mn |
| Apr 28, 2023 | 619.91 Mn |
| Jan 27, 2023 | 701.40 Mn |
| Oct 28, 2022 | 827.40 Mn |
| Jul 29, 2022 | 804.21 Mn |
| Apr 29, 2022 | 683.16 Mn |
| Jan 28, 2022 | 629.94 Mn |
| Oct 29, 2021 | 741.25 Mn |
Lands' End 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=LE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();