Lanvin Group Holdings (LANV) Other Accumulated Expenses (2021 - 2026)
Lanvin Group Holdings (LANV) posted Other Accumulated Expenses of $163.52 million for Q2 2026, up 13.8% from $143.74 million a year earlier.
Lanvin Group Holdings (LANV) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Lanvin Group Holdings' Other Accumulated Expenses came in at $151.41 million, up 0.6% from FY2024.
- Annual Other Accumulated Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 16.8% (FY2021 to FY2025).
- In prior years, Lanvin Group Holdings' Other Accumulated Expenses was $150.47 million in FY2024 (+3.3%), $145.63 million in FY2023 (+29.8%), $112.23 million in FY2022 (+38.1%) and $81.25 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Lanvin Group Holdings | 124.34 Mn | -53.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.52 Mn |
| Dec 31, 2025 | 156.00 Mn |
| Aug 29, 2025 | 147.42 Mn |
| Jun 30, 2025 | 143.74 Mn |
| Dec 31, 2024 | 148.56 Mn |
| Jun 30, 2024 | 137.85 Mn |
| Dec 31, 2023 | 144.85 Mn |
| Aug 30, 2023 | 129.89 Mn |
| Jun 30, 2023 | 129.43 Mn |
| Dec 31, 2022 | 108.64 Mn |
| Dec 31, 2021 | 78.55 Mn |
Lanvin Group Holdings 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=LANV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LANV", "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=LANV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();