Lands' End (LE) Accumulated Expenses (2022 - 2026)
Lands' End's Accumulated Expenses was $103.99 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 22.2% from $85.08 million a year earlier but down 17.2% from the prior quarter.
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Analysis
Lands' End (LE) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Accumulated Expenses at Lands' End came in at $91.07 million, down 7.8% from FY2025.
- Accumulated Expenses shows a four-year compound annual growth rate of -11.2% (FY2022 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $98.74 million in FY2025 (-9.4%), $108.97 million in FY2024 (+2.1%), $106.76 million in FY2023 (-27.0%) and $146.26 million in FY2022.
- Quarterly Accumulated Expenses has moved between $83.96 million (fiscal Q1 2026) and $146.26 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2027 (growth of 49.5%); the worst was fiscal Q4 2023 (a decline of 27.0%).
- Per Business Quant data, LE's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $125.55 million (Q1 2027), $91.07 million (Q4 2026) and $100.23 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Lands' End | 288.11 Mn | 194.83 Mn | 157.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 103.99 Mn |
| May 1, 2026 | 125.55 Mn |
| Jan 30, 2026 | 91.07 Mn |
| Oct 31, 2025 | 100.23 Mn |
| Aug 1, 2025 | 85.08 Mn |
| May 2, 2025 | 83.96 Mn |
| Jan 31, 2025 | 98.74 Mn |
| Nov 1, 2024 | 109.89 Mn |
| Aug 2, 2024 | 91.19 Mn |
| May 3, 2024 | 92.18 Mn |
| Feb 2, 2024 | 108.97 Mn |
| Oct 27, 2023 | 109.93 Mn |
| Jul 28, 2023 | 100.63 Mn |
| Apr 28, 2023 | 88.22 Mn |
| Jan 27, 2023 | 106.76 Mn |
| Oct 28, 2022 | 111.87 Mn |
| Jul 29, 2022 | 101.02 Mn |
| Apr 29, 2022 | 90.78 Mn |
| Jan 28, 2022 | 146.26 Mn |
API Access
Lands' End Accumulated 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=accumulated-expenses&ticker=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();