Evolus (EOLS) Shares Outstanding (2017 - 2026)
Evolus (EOLS) reported Weighted Average Shares Outstanding 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.
Evolus (EOLS) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Evolus posted Weighted Average Shares Outstanding of 64.47 million, up 4.0% from FY2024.
- Weighted Average Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding 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 in data going back to Q1 2017.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 35 quarters, with growth averaging 4.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 1.3% (Q1 2023) and 50.2% (Q1 2022) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Evolus | 455.33 Mn | 264.84 Mn | 50.69 Mn | 66.09 Mn |
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 |
Evolus Shares Outstanding 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&ticker=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();