Lands' End (LE) Short-Term Debt repayments (2020 - 2026)
Lands' End's Short-Term Debt repayments came in at $23 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 76.9% from $13 million a year earlier but down 61.0% from the prior quarter.
Lands' End (LE) Short-Term Debt repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Lands' End reported Short-Term Debt repayments of $158 million, up 35.0% year-over-year; for FY2026 (ended Jan 30, 2026), it was $109 million, down 3.5% from FY2025.
- Short-Term Debt repayments carries a five-year compound annual growth rate of -12.3% (FY2021 to FY2026).
- Going back by fiscal year, Short-Term Debt repayments was $113 million in FY2025 (-58.5%), $272 million in FY2024 (+65.9%), $164 million in FY2023 (-2.4%) and $168 million in FY2022 (-20.0%).
- The five-year range for quarterly Short-Term Debt repayments is $1 million (fiscal Q1 2023) to $113 million (fiscal Q4 2024).
- Year-over-year, Short-Term Debt repayments increased in three of the last eight quarters, with growth averaging 23.1%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in fiscal Q1 2027 (growth of 195.0%), and the weakest in fiscal Q1 2023 (a decline of 95.0%).
- Business Quant data shows LE's Short-Term Debt repayments at $59 million (Q1 2027), $75 million (Q4 2026) and $1 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 9.57 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 1.24 Bn |
| 10 | Lands' End | 288.11 Mn | 194.83 Mn | 157.02 Mn | 23.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.00 Mn |
| May 1, 2026 | 59.00 Mn |
| Jan 30, 2026 | 75.00 Mn |
| Oct 31, 2025 | 1.00 Mn |
| Aug 1, 2025 | 13.00 Mn |
| May 2, 2025 | 20.00 Mn |
| Jan 31, 2025 | 80.00 Mn |
| Nov 1, 2024 | 4.00 Mn |
| Aug 2, 2024 | 20.00 Mn |
| May 3, 2024 | 9.00 Mn |
| Feb 2, 2024 | 113.00 Mn |
| Oct 27, 2023 | 11.00 Mn |
| Jul 28, 2023 | 65.00 Mn |
| Apr 28, 2023 | 83.00 Mn |
| Jan 27, 2023 | 102.00 Mn |
| Oct 28, 2022 | 56.00 Mn |
| Jul 29, 2022 | 5.00 Mn |
| Apr 29, 2022 | 1.00 Mn |
| Jan 28, 2022 | 73.00 Mn |
| Oct 29, 2021 | 20.00 Mn |
Lands' End Short-Term Debt repayments 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=short-term-debt-repayments&ticker=LE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();