Lands' End (LE) Operating Expenses (2013 - 2026)
Lands' End (LE) posted Operating Expenses of $1.45 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 98.9% from $129.36 million a year earlier but up 228.9% from the prior quarter.
Lands' End (LE) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Lands' End was $310.22 million, down 43.8% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $605.91 million, up 0.6% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Lands' End's Operating Expenses was $602.39 million in FY2025 (-14.3%), $703.04 million in FY2024 (+23.5%), $569.04 million in FY2023 (-7.0%) and $611.67 million in FY2022 (+8.3%).
- Quarterly Operating Expenses has run from a low of $440,000 in fiscal Q1 2027 to a high of $172.55 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 25.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 14.8%; the weakest was fiscal Q1 2027, with a decline of 99.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $440,000 (Q1 2027), $169.73 million (Q4 2026) and $138.61 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Lands' End | 296.63 Mn | 203.35 Mn | 157.02 Mn | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.45 Mn |
| May 1, 2026 | 440,000.00 |
| Jan 30, 2026 | 169.73 Mn |
| Oct 31, 2025 | 138.61 Mn |
| Aug 1, 2025 | 129.36 Mn |
| May 2, 2025 | 123.46 Mn |
| Jan 31, 2025 | 158.02 Mn |
| Nov 1, 2024 | 140.88 Mn |
| Aug 2, 2024 | 135.51 Mn |
| May 3, 2024 | 127.40 Mn |
| Feb 2, 2024 | 172.55 Mn |
| Oct 27, 2023 | 135.28 Mn |
| Jul 28, 2023 | 123.87 Mn |
| Apr 28, 2023 | 118.51 Mn |
| Jan 27, 2023 | 150.30 Mn |
| Oct 28, 2022 | 132.81 Mn |
| Jul 29, 2022 | 128.57 Mn |
| Apr 29, 2022 | 115.69 Mn |
| Jan 28, 2022 | 172.19 Mn |
| Oct 29, 2021 | 137.41 Mn |
Lands' End Operating Expenses 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=operating-expenses&ticker=LE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();