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.
Powered by 
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 | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Lands' End | 296.63 Mn | 203.35 Mn | 157.02 Mn | 14.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.46 Mn |
| May 1, 2026 | -37.71 Mn |
| Jan 30, 2026 | 33.39 Mn |
| Oct 31, 2025 | 24.89 Mn |
| Aug 1, 2025 | 12.34 Mn |
| May 2, 2025 | 6.61 Mn |
| Jan 31, 2025 | 45.55 Mn |
| Nov 1, 2024 | 18.12 Mn |
| Aug 2, 2024 | 11.87 Mn |
| May 3, 2024 | 11.91 Mn |
| Feb 2, 2024 | 18.36 Mn |
| Oct 27, 2023 | -90.89 Mn |
| Jul 28, 2023 | 16.16 Mn |
| Apr 28, 2023 | 20.04 Mn |
| Jan 27, 2023 | 22.87 Mn |
| Oct 28, 2022 | 13.32 Mn |
| Jul 29, 2022 | 16.21 Mn |
| Apr 29, 2022 | 14.25 Mn |
| Jan 28, 2022 | 27.61 Mn |
| Oct 29, 2021 | 30.03 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();