Lululemon Athletica (LULU) Restructuring Costs (2017 - 2023)
Lululemon Athletica's Restructuring Costs came in at $74.5 million for FY2024 (year ended Jan 28, 2024), down 81.7% from $407.91 million in FY2023.
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Analysis
Lululemon Athletica (LULU) Restructuring Costs (2017 - 2023) Analysis & Trends
Going back to FY2018, Lululemon Athletica's Restructuring Costs data covers 5 fiscal years.
- Restructuring Costs carries a three-year compound annual growth rate of 35.7% (FY2021 to FY2024).
- The five-year range for annual Restructuring Costs is $29.84 million (FY2021) to $407.91 million (FY2023).
- Per Business Quant, earlier fiscal years put Restructuring Costs at $407.91 million in FY2023 (+885.3%), $41.4 million in FY2022 (+38.7%) and $29.84 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 29, 2023 | 74.50 Mn |
| Jan 29, 2023 | 407.91 Mn |
| Jan 30, 2022 | 1.47 Mn |
| Oct 31, 2021 | 24.13 Mn |
| Aug 1, 2021 | 8.14 Mn |
| May 2, 2021 | 7.66 Mn |
| Jan 31, 2021 | 7.80 Mn |
| Nov 1, 2020 | 8.53 Mn |
| Aug 2, 2020 | 11.46 Mn |
| May 3, 2020 | 2.05 Mn |
| Jan 28, 2018 | 2.00 Mn |
| Oct 29, 2017 | 21.01 Mn |
| Jul 30, 2017 | 3.19 Mn |
| Apr 30, 2017 | 12.33 Mn |
API Access
Lululemon Athletica Restructuring Costs 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=restructuring-costs&ticker=LULU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "LULU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();