SELLAS Life Sciences (SLS) Shares Outstanding (Diluted) (2012 - 2026)
SELLAS Life Sciences (SLS) recorded Shares Outstanding (Diluted) of 189.18 million in 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 (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, SELLAS Life Sciences reported Shares Outstanding (Diluted) of 109.05 million, up 78.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six straight years, with a five-year compound annual growth rate of 68.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 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 is the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2012.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 94.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 6.9% in Q1 2022 to 140.7% in Q3 2024.
- Per Business Quant, the preceding three quarters came in at 172.48 million (Q1 2026), 109.05 million (Q4 2025) and 108.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 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 | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 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 | 255.20 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 (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=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();