Envela (ELA) Enterprise Value (2010 - 2026)
Envela (ELA) recorded Enterprise Value of $706.38 million in Q2 2026, up 419.0% from $136.12 million a year earlier and up 79.3% from the prior quarter.
Envela (ELA) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Envela's Enterprise Value came in at $625.19 million as of Jun 30, 2026, up 714.8% year-over-year; for FY2025, it came in at $329.24 million, up 98.3% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $166.04 million in FY2024 (+50.9%), $110 million in FY2023 (-11.6%), $124.45 million in FY2022 (+25.1%) and $99.45 million in FY2021 (-24.0%).
- The Q2 2026 figure is the highest quarterly Enterprise Value in data going back to Q2 2010.
- On a year-over-year basis, Enterprise Value has increased for eight consecutive quarters, with growth averaging 109.8% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 419.0% in Q2 2026, against a decline of 44.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $393.94 million (Q1 2026), $329.24 million (Q4 2025) and $178.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Envela | 318.05 Mn | 193.42 Mn | 13.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 706.38 Mn |
| Mar 31, 2026 | 393.94 Mn |
| Dec 31, 2025 | 329.24 Mn |
| Sep 30, 2025 | 178.35 Mn |
| Jun 30, 2025 | 136.12 Mn |
| Mar 31, 2025 | 140.92 Mn |
| Dec 31, 2024 | 166.04 Mn |
| Sep 30, 2024 | 124.77 Mn |
| Jun 30, 2024 | 100.09 Mn |
| Mar 31, 2024 | 102.69 Mn |
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2023 | 109.25 Mn |
| Jun 30, 2023 | 179.58 Mn |
| Mar 31, 2023 | 154.66 Mn |
| Dec 31, 2022 | 124.45 Mn |
| Sep 30, 2022 | 121.27 Mn |
| Jun 30, 2022 | 178.04 Mn |
| Mar 31, 2022 | 113.97 Mn |
| Dec 31, 2021 | 99.45 Mn |
| Sep 30, 2021 | 103.68 Mn |
Envela Enterprise Value 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=enterprise-value&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();