SELLAS Life Sciences (SLS) Shares Outstanding (2010 - 2026)
SELLAS Life Sciences' Shares Outstanding came in at 189.18 million for Q2 2026, up 92.0% from 98.56 million a year earlier and up 9.7% from the prior quarter.
SELLAS Life Sciences (SLS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, SELLAS Life Sciences' Shares Outstanding was 109.05 million, up 78.2% from FY2024.
- Shares Outstanding has increased in each of the last eight years, with a five-year compound annual growth rate of 68.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 61.2 million in FY2024 (+120.3%), 27.78 million in FY2023 (+43.2%), 19.4 million in FY2022 (+25.3%) and 15.48 million in FY2021 (+94.1%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q2 2010.
- Year-over-year, Shares Outstanding has increased for 25 consecutive quarters, with growth averaging 94.2% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 6.9% (Q1 2022) and 140.7% (Q3 2024) over the last five years.
- Business Quant data shows SLS's Shares Outstanding at 172.48 million (Q1 2026), 109.05 million (Q4 2025) and 108.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.70 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | 189.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.18 Mn |
| Mar 31, 2026 | 172.48 Mn |
| Dec 31, 2025 | 109.05 Mn |
| Sep 30, 2025 | 108.40 Mn |
| Jun 30, 2025 | 98.56 Mn |
| Mar 31, 2025 | 87.76 Mn |
| Dec 31, 2024 | 61.20 Mn |
| Sep 30, 2024 | 68.25 Mn |
| Jun 30, 2024 | 57.63 Mn |
| Mar 31, 2024 | 44.81 Mn |
| Dec 31, 2023 | 27.78 Mn |
| Sep 30, 2023 | 28.36 Mn |
| Jun 30, 2023 | 28.35 Mn |
| Mar 31, 2023 | 23.55 Mn |
| Dec 31, 2022 | 19.40 Mn |
| Sep 30, 2022 | 20.56 Mn |
| Jun 30, 2022 | 20.29 Mn |
| Mar 31, 2022 | 15.90 Mn |
| Dec 31, 2021 | 15.48 Mn |
| Sep 30, 2021 | 15.87 Mn |
SELLAS Life Sciences 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=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SLS", "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=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();