Lands' End (LE) Inventory (2013 - 2026)
Lands' End (LE) recorded Inventory of $342.04 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.3% from $301.8 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Lands' End (LE) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Lands' End reported Inventory of $268.8 million, up 1.4% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of -6.8% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $265.13 million in FY2025 (-12.1%), $301.72 million in FY2024 (-29.1%), $425.51 million in FY2023 (+10.7%) and $384.24 million in FY2022 (+0.6%).
- Quarterly Inventory has ranged from $262.37 million in fiscal Q1 2026 to $569.17 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 22.6% in fiscal Q2 2023, against a decline of 30.4% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $299.92 million (Q1 2027), $268.8 million (Q4 2026) and $347.63 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,836.12 Bn | 2,352.82 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.88 Bn | 306.12 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.09 Bn | 139.64 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.97 Bn | 102.93 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.48 Bn | 58.40 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 70.26 Bn | 64.85 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 51.76 Bn | 50.66 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.62 Bn | 34.11 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Lands' End | 293.04 Mn | 199.77 Mn | 157.02 Mn | 342.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 342.04 Mn |
| May 1, 2026 | 299.92 Mn |
| Jan 30, 2026 | 268.80 Mn |
| Oct 31, 2025 | 347.63 Mn |
| Aug 1, 2025 | 301.80 Mn |
| May 2, 2025 | 262.37 Mn |
| Jan 31, 2025 | 265.13 Mn |
| Nov 1, 2024 | 335.86 Mn |
| Aug 2, 2024 | 312.01 Mn |
| May 3, 2024 | 288.63 Mn |
| Feb 2, 2024 | 301.72 Mn |
| Oct 27, 2023 | 422.16 Mn |
| Jul 28, 2023 | 396.09 Mn |
| Apr 28, 2023 | 376.06 Mn |
| Jan 27, 2023 | 425.51 Mn |
| Oct 28, 2022 | 564.86 Mn |
| Jul 29, 2022 | 569.17 Mn |
| Apr 29, 2022 | 436.86 Mn |
| Jan 28, 2022 | 384.24 Mn |
| Oct 29, 2021 | 479.79 Mn |
API Access
Lands' End Inventory 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=inventory&ticker=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();