Envela (ELA) Inventory (2010 - 2026)
Envela's Inventory came in at $29.82 million for Q2 2026, up 8.9% from $27.38 million a year earlier but down 12.3% from the prior quarter.
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Analysis
Envela (ELA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Envela's Inventory was $35.07 million, up 36.4% from FY2024.
- Inventory has increased in each of the last six years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Going back by year, Inventory was $25.71 million in FY2024 (+11.1%), $23.15 million in FY2023 (+23.4%), $18.76 million in FY2022 (+33.5%) and $14.05 million in FY2021 (+40.4%).
- The five-year range for quarterly Inventory is $12.65 million (Q3 2021) to $35.07 million (Q4 2025).
- Year-over-year, Inventory has increased for three consecutive quarters, with growth averaging 14.6% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 0.0% (Q3 2025) and 42.7% (Q3 2022) over the last five years.
- Business Quant data shows ELA's Inventory at $34.01 million (Q1 2026), $35.07 million (Q4 2025) and $29.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Envela | 318.05 Mn | 193.42 Mn | 13.38 Mn | 29.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.82 Mn |
| Mar 31, 2026 | 34.01 Mn |
| Dec 31, 2025 | 35.07 Mn |
| Sep 30, 2025 | 29.07 Mn |
| Jun 30, 2025 | 27.38 Mn |
| Mar 31, 2025 | 26.12 Mn |
| Dec 31, 2024 | 25.71 Mn |
| Sep 30, 2024 | 29.07 Mn |
| Jun 30, 2024 | 26.78 Mn |
| Mar 31, 2024 | 25.62 Mn |
| Dec 31, 2023 | 23.15 Mn |
| Sep 30, 2023 | 23.05 Mn |
| Jun 30, 2023 | 21.52 Mn |
| Mar 31, 2023 | 19.11 Mn |
| Dec 31, 2022 | 18.76 Mn |
| Sep 30, 2022 | 18.06 Mn |
| Jun 30, 2022 | 17.80 Mn |
| Mar 31, 2022 | 14.62 Mn |
| Dec 31, 2021 | 14.05 Mn |
| Sep 30, 2021 | 12.65 Mn |
API Access
Envela 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=ELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ELA", "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=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();