Lands' End (LE) Selling, General & Administrative (2013 - 2026)
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Analysis
Lands' End (LE) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 5.73 Bn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | 1.02 Bn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 805.00 Mn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Lands' End | 293.04 Mn | 199.77 Mn | 157.02 Mn | 135.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 135.25 Mn |
| May 1, 2026 | 126.45 Mn |
| 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 |
API Access
Lands' End Selling, General & Administrative 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=selling-general-and-administrative&ticker=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();