Envela (ELA) Revenue (2010 - 2026)
Envela (ELA) posted Revenue of $56.77 million for Q2 2026, up 3.5% from $54.88 million a year earlier but down 42.3% from the prior quarter.
Envela (ELA) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Envela was $293.04 million, up 47.7% year-over-year; for FY2025, it came in at $241.02 million, up 33.6% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In prior years, Envela's Revenue was $180.38 million in FY2024 (+2.9%), $175.26 million in FY2023 (-4.1%), $182.69 million in FY2022 (+29.6%) and $140.97 million in FY2021 (+23.7%).
- Quarterly Revenue has run from a low of $36.88 million in Q3 2023 to a high of $98.38 million in Q1 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last eight quarters, with growth averaging 36.8% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2026, with growth of 103.9%; the weakest was Q4 2023, with a decline of 21.0%.
- According to Business Quant data, Revenue for the three prior quarters was $98.38 million (Q1 2026), $80.5 million (Q4 2025) and $57.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Envela | 322.73 Mn | 198.09 Mn | 13.38 Mn | 56.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.77 Mn |
| Mar 31, 2026 | 98.38 Mn |
| Dec 31, 2025 | 80.50 Mn |
| Sep 30, 2025 | 57.39 Mn |
| Jun 30, 2025 | 54.88 Mn |
| Mar 31, 2025 | 48.26 Mn |
| Dec 31, 2024 | 48.32 Mn |
| Sep 30, 2024 | 46.90 Mn |
| Jun 30, 2024 | 45.30 Mn |
| Mar 31, 2024 | 39.86 Mn |
| Dec 31, 2023 | 37.48 Mn |
| Sep 30, 2023 | 36.88 Mn |
| Jun 30, 2023 | 51.10 Mn |
| Mar 31, 2023 | 49.81 Mn |
| Dec 31, 2022 | 47.43 Mn |
| Sep 30, 2022 | 45.20 Mn |
| Jun 30, 2022 | 42.64 Mn |
| Mar 31, 2022 | 47.42 Mn |
| Dec 31, 2021 | 44.07 Mn |
| Sep 30, 2021 | 37.68 Mn |
Envela Revenue 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=revenue&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();