Envela (ELA) Property, Plant & Equipment (Net) (2010 - 2026)
Envela's Property, Plant & Equipment (Net) was $14.51 million in Q2 2026, up 5.1% from $13.8 million a year earlier and up 4.7% from the prior quarter.
Powered by 
Analysis
Envela (ELA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Envela came in at $13.58 million, up 0.5% from FY2024.
- Property, Plant & Equipment (Net) has now increased for three consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $13.52 million in FY2024 (+25.6%), $10.76 million in FY2023 (+14.6%), $9.39 million in FY2022 (-4.2%) and $9.81 million in FY2021 (+42.4%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 13 straight quarters, with growth averaging 13.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 221.7%); the worst was Q1 2023 (a decline of 5.1%).
- Per Business Quant data, ELA's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $13.85 million (Q1 2026), $13.58 million (Q4 2025) and $13.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Envela | 317.01 Mn | 192.38 Mn | 13.38 Mn | 14.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.51 Mn |
| Mar 31, 2026 | 13.85 Mn |
| Dec 31, 2025 | 13.58 Mn |
| Sep 30, 2025 | 13.72 Mn |
| Jun 30, 2025 | 13.80 Mn |
| Mar 31, 2025 | 13.64 Mn |
| Dec 31, 2024 | 13.52 Mn |
| Sep 30, 2024 | 13.27 Mn |
| Jun 30, 2024 | 11.38 Mn |
| Mar 31, 2024 | 11.05 Mn |
| Dec 31, 2023 | 10.76 Mn |
| Sep 30, 2023 | 10.45 Mn |
| Jun 30, 2023 | 10.35 Mn |
| Mar 31, 2023 | 9.23 Mn |
| Dec 31, 2022 | 9.39 Mn |
| Sep 30, 2022 | 9.51 Mn |
| Jun 30, 2022 | 9.66 Mn |
| Mar 31, 2022 | 9.72 Mn |
| Dec 31, 2021 | 9.81 Mn |
| Sep 30, 2021 | 9.65 Mn |
API Access
Envela Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();