Lands' End (LE) Other Accumulated Expenses (2013 - 2022)
Lands' End's Other Accumulated Expenses was $111.87 million in fiscal Q3 2023 (quarter ended Oct 28, 2022), down 21.7% from $142.83 million a year earlier but up 10.7% from the prior quarter.
Powered by 
Analysis
Lands' End (LE) Other Accumulated Expenses (2013 - 2022) Analysis & Trends
At the end of FY2022 (ended Jan 28, 2022), Other Accumulated Expenses at Lands' End came in at $146.26 million, down 9.7% from FY2021.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 11.1% (FY2017 to FY2022).
- In earlier fiscal years, Other Accumulated Expenses was $161.98 million in FY2021 (+41.9%), $114.12 million in FY2020 (+1.6%), $112.27 million in FY2019 (+12.0%) and $100.26 million in FY2018 (+16.0%).
- Quarterly Other Accumulated Expenses has moved between $82.9 million (fiscal Q1 2021) and $161.98 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Other Accumulated Expenses has declined for five straight quarters, with growth averaging 6.7% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q1 2022 (growth of 75.1%); the worst was fiscal Q1 2023 (a decline of 37.5%).
- Per Business Quant data, LE's Other Accumulated Expenses in the three fiscal quarters before Q3 2023 was $101.02 million (Q2 2023), $90.78 million (Q1 2023) and $146.26 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,674.80 Bn | 2,191.50 Bn | 104.83 Bn |
| 2 | Home Depot | 319.08 Bn | 312.32 Bn | 16.12 Bn |
| 3 | Tjx Companies | 161.12 Bn | 138.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.89 Bn | 104.86 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.43 Bn | 74.51 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.85 Bn | 56.77 Bn | 2.12 Bn |
| 7 | Target | 70.65 Bn | 65.23 Bn | 8.94 Bn |
| 8 | Autozone | 53.34 Bn | 52.24 Bn | 2.52 Bn |
| 9 | Carvana | 41.37 Bn | 31.86 Bn | 1.38 Bn |
| 10 | Lands' End | 287.06 Mn | 193.79 Mn | 157.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 28, 2022 | 111.87 Mn |
| Jul 29, 2022 | 101.02 Mn |
| Apr 29, 2022 | 90.78 Mn |
| Jan 28, 2022 | 146.26 Mn |
| Oct 29, 2021 | 142.83 Mn |
| Jul 30, 2021 | 130.29 Mn |
| Apr 30, 2021 | 145.21 Mn |
| Jan 29, 2021 | 161.98 Mn |
| Oct 30, 2020 | 147.90 Mn |
| Jul 31, 2020 | 99.02 Mn |
| May 1, 2020 | 82.90 Mn |
| Jan 31, 2020 | 114.12 Mn |
| Nov 1, 2019 | 103.40 Mn |
| Aug 2, 2019 | 87.81 Mn |
| May 3, 2019 | 84.17 Mn |
| Feb 1, 2019 | 112.27 Mn |
| Nov 2, 2018 | 111.22 Mn |
| Aug 3, 2018 | 91.75 Mn |
| May 4, 2018 | 95.55 Mn |
| Feb 2, 2018 | 100.26 Mn |
API Access
Lands' End Other 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=other-accumulated-expenses&ticker=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();