XCel Brands (XELB) Change in Inventory (2013 - 2024)
XCel Brands' Change in Inventory was -$453,000 in FY2024, compared with -$2.39 million in FY2023.
Analysis
XCel Brands (XELB) Change in Inventory (2013 - 2024) Analysis & Trends
From FY2014 onward, XCel Brands has reported Change in Inventory for 8 years.
- The FY2024 figure marks the highest annual Change in Inventory since FY2021.
- Per Business Quant data, Change in Inventory in earlier years was -$2.39 million in FY2023, -$530,000 in FY2022, $2.16 million in FY2021 (+581.1%) and $317,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 55.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | -19.10 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 156.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 37.99 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | -8.13 Mn |
| 10 | XCel Brands | 4.53 Mn | -1.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -407,000.00 |
| Jun 30, 2024 | -38,000.00 |
| Mar 31, 2024 | -8,000.00 |
| Dec 31, 2023 | -543,000.00 |
| Sep 30, 2023 | 199,000.00 |
| Jun 30, 2023 | -2.30 Mn |
| Mar 31, 2023 | 254,000.00 |
| Dec 31, 2022 | -1.04 Mn |
| Sep 30, 2022 | 409,000.00 |
| Jun 30, 2022 | -466,000.00 |
| Mar 31, 2022 | 566,000.00 |
| Dec 31, 2021 | -55,000.00 |
| Sep 30, 2021 | 284,000.00 |
| Jun 30, 2021 | 361,000.00 |
| Mar 31, 2021 | 1.57 Mn |
| Dec 31, 2020 | 493,000.00 |
| Sep 30, 2020 | -143,000.00 |
| Jun 30, 2020 | 78,000.00 |
| Mar 31, 2020 | -111,000.00 |
| Dec 31, 2019 | -1.18 Mn |
API Access
XCel Brands Change in 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=change-in-inventory&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "XELB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();