Envela (ELA) Shares Outstanding (Diluted) (2010 - 2026)
Envela (ELA) posted Shares Outstanding (Diluted) of 25.96 million for Q2 2026, down 0.1% from 25.99 million a year earlier and unchanged from the prior quarter.
Envela (ELA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Envela's Shares Outstanding (Diluted) came in at 25.98 million, down 0.8% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for three consecutive years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Envela's Shares Outstanding (Diluted) was 26.18 million in FY2024 (-2.4%), 26.84 million in FY2023 (-0.4%), 26.94 million in FY2022 (unchanged) and 26.94 million in FY2021 (unchanged).
- Quarterly Shares Outstanding (Diluted) has run from a low of 25.96 million in Q1 2026 to a high of 26.94 million in Q1 2023 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 12 quarters, with an average decline of 1.2% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.0% (Q1 2023) and 2.8% (Q3 2024) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 25.96 million (Q1 2026), 25.98 million (Q4 2025) and 25.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Envela | 313.90 Mn | 189.26 Mn | 13.38 Mn | 25.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.96 Mn |
| Mar 31, 2026 | 25.96 Mn |
| Dec 31, 2025 | 25.98 Mn |
| Sep 30, 2025 | 25.97 Mn |
| Jun 30, 2025 | 25.99 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | 26.18 Mn |
| Sep 30, 2024 | 26.08 Mn |
| Jun 30, 2024 | 26.26 Mn |
| Mar 31, 2024 | 26.43 Mn |
| Dec 31, 2023 | 26.84 Mn |
| Sep 30, 2023 | 26.82 Mn |
| Jun 30, 2023 | 26.93 Mn |
| Mar 31, 2023 | 26.94 Mn |
| Dec 31, 2022 | 26.94 Mn |
| Sep 30, 2022 | 26.94 Mn |
| Jun 30, 2022 | 26.94 Mn |
| Mar 31, 2022 | 26.94 Mn |
| Dec 31, 2021 | 26.94 Mn |
| Sep 30, 2021 | 26.94 Mn |
Envela Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();