Lands' End (LE) Price to Earnings (2014 - 2026)
Lands' End's (LE) Price to Earnings was 1.03 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 98.3% from 58.67 a year earlier but up 0.6% from the prior quarter.
Lands' End (LE) Price to Earnings (2014 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Price to Earnings at Lands' End was 98.59, up 60.0% from FY2025.
- By fiscal year, Price to Earnings came in at 61.61 in FY2025 and 17.92 in FY2022 (-78.4%).
- Five-year quarterly Price to Earnings spans a low of 1.02 in fiscal Q1 2027 and a high of 98.59 in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 1.02 (Q1 2027), 98.59 (Q4 2026) and 40.91 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn |
| 10 | Lands' End | 293.02 Mn | 199.75 Mn | 157.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.03 |
| May 1, 2026 | 1.02 |
| Jan 30, 2026 | 98.59 |
| Oct 31, 2025 | 40.91 |
| Aug 1, 2025 | 58.67 |
| May 2, 2025 | 59.56 |
| Jan 31, 2025 | 61.61 |
| Jul 29, 2022 | 42.51 |
| Apr 29, 2022 | 16.52 |
| Jan 28, 2022 | 17.92 |
| Oct 29, 2021 | 18.77 |
| Jul 30, 2021 | 27.50 |
| Apr 30, 2021 | 22.27 |
| Jan 29, 2021 | 83.10 |
| Oct 30, 2020 | 31.86 |
| Jul 31, 2020 | 21.86 |
| May 1, 2020 | 46.94 |
| Jan 31, 2020 | 19.56 |
| Nov 1, 2019 | 37.62 |
| Aug 2, 2019 | 33.63 |
Lands' End Price to Earnings 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=price-to-earnings&ticker=LE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();