Evolus (EOLS) Shares Outstanding (Diluted) (2017 - 2026)
Evolus (EOLS) reported Weighted Average Shares Outstanding (Diluted) of 66.09 million for Q3 2026, up 2.1% from 64.73 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Evolus (EOLS) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Evolus posted Weighted Average Shares Outstanding (Diluted) of 64.47 million, up 4.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 62.02 million in FY2024 (+9.0%), 56.92 million in FY2023 (+1.5%), 56.07 million in FY2022 (+12.6%) and 49.77 million in FY2021 (+47.5%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2020.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 23 quarters, with growth averaging 4.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 1.3% (Q1 2023) and 47.5% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 65.93 million (Q2 2026), 65.19 million (Q1 2026) and 64.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Evolus | 450.43 Mn | 259.94 Mn | 50.69 Mn | 66.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.09 Mn |
| Jun 30, 2026 | 65.93 Mn |
| Mar 31, 2026 | 65.19 Mn |
| Dec 31, 2025 | 64.47 Mn |
| Sep 30, 2025 | 64.73 Mn |
| Jun 30, 2025 | 64.54 Mn |
| Mar 31, 2025 | 63.70 Mn |
| Dec 31, 2024 | 62.02 Mn |
| Sep 30, 2024 | 63.15 Mn |
| Jun 30, 2024 | 62.72 Mn |
| Mar 31, 2024 | 58.80 Mn |
| Dec 31, 2023 | 56.92 Mn |
| Sep 30, 2023 | 57.02 Mn |
| Jun 30, 2023 | 56.92 Mn |
| Mar 31, 2023 | 56.48 Mn |
| Dec 31, 2022 | 56.07 Mn |
| Sep 30, 2022 | 56.18 Mn |
| Jun 30, 2022 | 56.08 Mn |
| Mar 31, 2022 | 55.73 Mn |
| Dec 31, 2021 | 49.77 Mn |
API Access
Evolus 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=EOLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EOLS", "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=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();