SELLAS Life Sciences (SLS) Current Assets (2010 - 2026)
SELLAS Life Sciences (SLS) posted Current Assets of $142.51 million for Q2 2026, up 383.9% from $29.45 million a year earlier and up 28.2% from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, SELLAS Life Sciences' Current Assets came in at $75.21 million, up 360.7% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, SELLAS Life Sciences' Current Assets was $16.33 million in FY2024 (+414.7%), $3.17 million in FY2023 (-82.1%), $17.76 million in FY2022 (-22.9%) and $23.04 million in FY2021 (-37.6%).
- The Q2 2026 figure stands as the highest quarterly Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Current Assets has increased in each of the last eight quarters, with growth averaging 257.6% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2024, with growth of 414.7%; the weakest was Q4 2023, with a decline of 82.1%.
- According to Business Quant data, Current Assets for the three prior quarters was $111.17 million (Q1 2026), $75.21 million (Q4 2025) and $49.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 12.54 Bn |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | 142.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.51 Mn |
| Mar 31, 2026 | 111.17 Mn |
| Dec 31, 2025 | 75.21 Mn |
| Sep 30, 2025 | 49.05 Mn |
| Jun 30, 2025 | 29.45 Mn |
| Mar 31, 2025 | 31.97 Mn |
| Dec 31, 2024 | 16.33 Mn |
| Sep 30, 2024 | 24.04 Mn |
| Jun 30, 2024 | 12.30 Mn |
| Mar 31, 2024 | 21.50 Mn |
| Dec 31, 2023 | 3.17 Mn |
| Sep 30, 2023 | 5.20 Mn |
| Jun 30, 2023 | 15.58 Mn |
| Mar 31, 2023 | 26.02 Mn |
| Dec 31, 2022 | 17.76 Mn |
| Sep 30, 2022 | 22.61 Mn |
| Jun 30, 2022 | 28.74 Mn |
| Mar 31, 2022 | 17.84 Mn |
| Dec 31, 2021 | 23.04 Mn |
| Sep 30, 2021 | 28.97 Mn |
API Access
SELLAS Life Sciences Current 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=current-assets&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();