SELLAS Life Sciences (SLS) Assets (2010 - 2026)
SELLAS Life Sciences (SLS) recorded Assets of $145.38 million in Q2 2026, up 350.0% from $32.31 million a year earlier and up 27.3% from the prior quarter.
SELLAS Life Sciences (SLS) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, SELLAS Life Sciences reported Assets of $78.35 million, up 303.2% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier years, Assets came in at $19.43 million in FY2024 (+212.5%), $6.22 million in FY2023 (-70.3%), $20.94 million in FY2022 (-20.3%) and $26.28 million in FY2021 (-42.9%).
- The Q2 2026 figure is the highest quarterly Assets in data going back to Q4 2010.
- On a year-over-year basis, Assets has increased for eight consecutive quarters, with growth averaging 196.4% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 350.0% in Q2 2026, against a decline of 70.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $114.18 million (Q1 2026), $78.35 million (Q4 2025) and $51.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | 145.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.38 Mn |
| Mar 31, 2026 | 114.18 Mn |
| Dec 31, 2025 | 78.35 Mn |
| Sep 30, 2025 | 51.56 Mn |
| Jun 30, 2025 | 32.31 Mn |
| Mar 31, 2025 | 34.96 Mn |
| Dec 31, 2024 | 19.43 Mn |
| Sep 30, 2024 | 26.51 Mn |
| Jun 30, 2024 | 15.12 Mn |
| Mar 31, 2024 | 24.43 Mn |
| Dec 31, 2023 | 6.22 Mn |
| Sep 30, 2023 | 8.09 Mn |
| Jun 30, 2023 | 18.57 Mn |
| Mar 31, 2023 | 29.10 Mn |
| Dec 31, 2022 | 20.94 Mn |
| Sep 30, 2022 | 26.00 Mn |
| Jun 30, 2022 | 32.21 Mn |
| Mar 31, 2022 | 21.43 Mn |
| Dec 31, 2021 | 26.28 Mn |
| Sep 30, 2021 | 37.95 Mn |
SELLAS Life Sciences Assets 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=assets&ticker=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();