SELLAS Life Sciences (SLS) Return on Equity [ROE] (2011 - 2026)
SELLAS Life Sciences (SLS) recorded Return on Equity [ROE] of -28.74% in Q2 2026, up 72.11 percentage points from -100.85% a year earlier and up 6.55 percentage points from the prior quarter.
SELLAS Life Sciences (SLS) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, SELLAS Life Sciences reported Return on Equity [ROE] of -70.39%, up 4162.38 percentage points from FY2024.
- Annual Return on Equity [ROE] has a five-year change of +28.02 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -4232.77% in FY2024, -327.81% in FY2022 (-242.12 pp) and -85.70% in FY2021 (+12.72 pp).
- The Q2 2026 figure is the highest quarterly Return on Equity [ROE] since Q3 2016.
- On a year-over-year basis, Return on Equity [ROE] has increased for six consecutive quarters, with an average year-over-year change of +1794.37 percentage points over the last seven quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 7355.79 percentage points in Q3 2024, against a drop of 7425.55 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -35.30% (Q1 2026), -48.54% (Q4 2025) and -75.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | -28.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.74% |
| Mar 31, 2026 | -35.30% |
| Dec 31, 2025 | -48.54% |
| Sep 30, 2025 | -75.06% |
| Jun 30, 2025 | -100.85% |
| Mar 31, 2025 | -150.07% |
| Dec 31, 2024 | -248.55% |
| Sep 30, 2024 | -348.55% |
| Jun 30, 2024 | -552.58% |
| Mar 31, 2024 | -4,242.74% |
| Sep 30, 2023 | -7,704.33% |
| Jun 30, 2023 | -409.98% |
| Mar 31, 2023 | -405.06% |
| Dec 31, 2022 | -480.86% |
| Sep 30, 2022 | -278.78% |
| Jun 30, 2022 | -380.85% |
| Mar 31, 2022 | -326.47% |
| Dec 31, 2021 | -107.74% |
| Sep 30, 2021 | -59.42% |
| Jun 30, 2021 | -49.39% |
SELLAS Life Sciences Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();