SELLAS Life Sciences (SLS) Selling, General & Administrative (2010 - 2026)
SELLAS Life Sciences (SLS) recorded Selling, General & Administrative of $4.36 million in Q2 2026, up 45.1% from $3 million a year earlier and up 5.7% from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, SELLAS Life Sciences' Selling, General & Administrative came in at $14.87 million as of Jun 30, 2026, up 31.5% year-over-year; for FY2025, it was $12.25 million, down 1.3% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $12.42 million in FY2024 (-10.4%), $13.86 million in FY2023 (+10.2%), $12.58 million in FY2022 (+11.1%) and $11.32 million in FY2021 (+17.9%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q1 2024.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 45.1% in Q2 2026, against a decline of 37.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.12 million (Q1 2026), $3.53 million (Q4 2025) and $2.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | SELLAS Life Sciences | 2.37 Bn | 2.37 Bn | - | 4.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.36 Mn |
| Mar 31, 2026 | 4.12 Mn |
| Dec 31, 2025 | 3.53 Mn |
| Sep 30, 2025 | 2.87 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 2.86 Mn |
| Dec 31, 2024 | 2.48 Mn |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | 2.44 Mn |
| Mar 31, 2024 | 4.53 Mn |
| Dec 31, 2023 | 3.08 Mn |
| Sep 30, 2023 | 3.55 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 4.11 Mn |
| Dec 31, 2022 | 3.60 Mn |
| Sep 30, 2022 | 2.86 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 3.02 Mn |
| Dec 31, 2021 | 2.53 Mn |
| Sep 30, 2021 | 2.44 Mn |
API Access
SELLAS Life Sciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();