Envela (ELA) EBITDA (2010 - 2026)
Envela's EBITDA came in at $5.6 million for Q2 2026, up 50.7% from $3.72 million a year earlier but down 52.1% from the prior quarter.
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Analysis
Envela (ELA) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Envela reported EBITDA of $29.99 million, up 149.2% year-over-year; for FY2025, it came in at $19.98 million, up 105.7% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $9.71 million in FY2024 (-4.0%), $10.12 million in FY2023 (-34.3%), $15.4 million in FY2022 (+47.7%) and $10.42 million in FY2021 (+38.7%).
- The five-year range for quarterly EBITDA is $1.93 million (Q4 2023) to $11.7 million (Q1 2026).
- Year-over-year, EBITDA has increased for eight consecutive quarters, with growth averaging 92.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2025 (growth of 245.7%), and the weakest in Q4 2023 (a decline of 52.5%).
- Business Quant data shows ELA's EBITDA at $11.7 million (Q1 2026), $8.02 million (Q4 2025) and $4.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | Envela | 318.05 Mn | 193.42 Mn | 13.38 Mn | 5.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 11.70 Mn |
| Dec 31, 2025 | 8.02 Mn |
| Sep 30, 2025 | 4.67 Mn |
| Jun 30, 2025 | 3.72 Mn |
| Mar 31, 2025 | 3.56 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 2.68 Mn |
| Dec 31, 2023 | 1.93 Mn |
| Sep 30, 2023 | 2.29 Mn |
| Jun 30, 2023 | 2.40 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 4.06 Mn |
| Sep 30, 2022 | 3.99 Mn |
| Jun 30, 2022 | 4.28 Mn |
| Mar 31, 2022 | 3.15 Mn |
| Dec 31, 2021 | 3.10 Mn |
| Sep 30, 2021 | 2.88 Mn |
API Access
Envela EBITDA 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=ebitda&ticker=ELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();