Lands' End (LE) EBITDA (2013 - 2026)
Lands' End (LE) reported EBITDA of $14.33 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 23.2% from $11.64 million a year earlier.
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Analysis
Lands' End (LE) EBITDA (2013 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Lands' End's EBITDA came in at $33.2 million, down 58.4% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $74.43 million, down 12.2% from FY2025.
- EBITDA has a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $84.73 million in FY2025, -$39.05 million in FY2024, $63.47 million in FY2023 (-46.6%) and $118.95 million in FY2022 (+51.6%).
- Five-year quarterly EBITDA spans a low of -$91.71 million in fiscal Q3 2024 and a high of $44.87 million in fiscal Q4 2025.
- Year over year, EBITDA gained in four of the last six quarters, with growth averaging 23.2%.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2025 (growth of 147.9%); the low point was fiscal Q2 2023 (a decline of 62.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$38.01 million (Q1 2027), $32.69 million (Q4 2026) and $24.18 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Lands' End | 312.84 Mn | 219.57 Mn | 157.02 Mn | 14.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.33 Mn |
| May 1, 2026 | -38.01 Mn |
| Jan 30, 2026 | 32.69 Mn |
| Oct 31, 2025 | 24.18 Mn |
| Aug 1, 2025 | 11.64 Mn |
| May 2, 2025 | 5.92 Mn |
| Jan 31, 2025 | 44.87 Mn |
| Nov 1, 2024 | 17.44 Mn |
| Aug 2, 2024 | 11.18 Mn |
| May 3, 2024 | 11.24 Mn |
| Feb 2, 2024 | 18.10 Mn |
| Oct 27, 2023 | -91.71 Mn |
| Jul 28, 2023 | 15.34 Mn |
| Apr 28, 2023 | 19.22 Mn |
| Jan 27, 2023 | 22.05 Mn |
| Oct 28, 2022 | 12.51 Mn |
| Jul 29, 2022 | 15.43 Mn |
| Apr 29, 2022 | 13.48 Mn |
| Jan 28, 2022 | 26.77 Mn |
| Oct 29, 2021 | 29.27 Mn |
API Access
Lands' End EBITDA 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=ebitda&ticker=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();