BioXcel Therapeutics (BTAIQ) Selling, General & Administrative (2017 - 2026)
BioXcel Therapeutics (BTAIQ) reported Selling, General & Administrative of $7.19 million for Q2 2026, up 28.2% from $5.61 million a year earlier and unchanged from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, BioXcel Therapeutics' Selling, General & Administrative came in at $23.57 million, up 2.1% year-over-year; for FY2025, it was $20.49 million, down 40.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $34.49 million in FY2024 (-58.6%), $83.41 million in FY2023 (+21.3%), $68.76 million in FY2022 (+26.8%) and $54.23 million in FY2021 (+123.1%).
- Five-year quarterly Selling, General & Administrative spans a low of $3.81 million in Q4 2025 and a high of $25.87 million in Q2 2023.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 25.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 82.6%); the low point was Q3 2024 (a decline of 68.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.19 million (Q1 2026), $3.81 million (Q4 2025) and $5.38 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 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 7.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.19 Mn |
| Mar 31, 2026 | 7.19 Mn |
| Dec 31, 2025 | 3.81 Mn |
| Sep 30, 2025 | 5.38 Mn |
| Jun 30, 2025 | 5.61 Mn |
| Mar 31, 2025 | 5.70 Mn |
| Dec 31, 2024 | 4.09 Mn |
| Sep 30, 2024 | 7.68 Mn |
| Jun 30, 2024 | 9.45 Mn |
| Mar 31, 2024 | 13.26 Mn |
| Dec 31, 2023 | 9.60 Mn |
| Sep 30, 2023 | 24.34 Mn |
| Jun 30, 2023 | 25.87 Mn |
| Mar 31, 2023 | 23.60 Mn |
| Dec 31, 2022 | 20.66 Mn |
| Sep 30, 2022 | 17.05 Mn |
| Jun 30, 2022 | 18.38 Mn |
| Mar 31, 2022 | 12.92 Mn |
| Dec 31, 2021 | 13.61 Mn |
| Sep 30, 2021 | 14.88 Mn |
API Access
BioXcel Therapeutics 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=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "BTAIQ", "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=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();