Envela (ELA) EBIT (2010 - 2026)
Envela's EBIT was $5.1 million in Q2 2026, up 56.7% from $3.26 million a year earlier but down 54.5% from the prior quarter.
Envela (ELA) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Envela's EBIT was $28.05 million through Jun 30, 2026, up 172.8% year-over-year; for FY2025, it was $18.11 million, up 122.0% from FY2024.
- EBIT shows a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In earlier years, EBIT was $8.16 million in FY2024 (-6.8%), $8.76 million in FY2023 (-37.2%), $13.94 million in FY2022 (+46.8%) and $9.5 million in FY2021 (+39.9%).
- Quarterly EBIT has moved between $1.59 million (Q4 2023) and $11.21 million (Q1 2026) over five years.
- Compared with a year earlier, EBIT has increased for eight straight quarters, with growth averaging 106.1% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q4 2025 (growth of 298.8%); the worst was Q4 2023 (a decline of 57.1%).
- Per Business Quant data, ELA's EBIT in the three quarters before Q2 2026 was $11.21 million (Q1 2026), $7.53 million (Q4 2025) and $4.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 285.68 Mn |
| 10 | Envela | 322.73 Mn | 198.09 Mn | 13.38 Mn | 5.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.10 Mn |
| Mar 31, 2026 | 11.21 Mn |
| Dec 31, 2025 | 7.53 Mn |
| Sep 30, 2025 | 4.20 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.12 Mn |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2024 | 2.02 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 2.34 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.95 Mn |
| Jun 30, 2023 | 2.06 Mn |
| Mar 31, 2023 | 3.15 Mn |
| Dec 31, 2022 | 3.71 Mn |
| Sep 30, 2022 | 3.46 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 2.86 Mn |
| Dec 31, 2021 | 2.81 Mn |
| Sep 30, 2021 | 2.66 Mn |
Envela EBIT 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=ebit&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();