BioXcel Therapeutics (BTAIQ) Return on Sales [ROS] (2022 - 2026)
BioXcel Therapeutics' Return on Sales [ROS] came in at -5600.55% for Q2 2026, up 7609.45 percentage points from -13210.00% a year earlier but down 637.93 percentage points from the prior quarter.
BioXcel Therapeutics (BTAIQ) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BioXcel Therapeutics reported Return on Sales [ROS] of -6054.72%, down 94.23 percentage points year-over-year; for FY2025, it came in at -7859.97%, down 4892.40 percentage points from FY2024.
- Return on Sales [ROS] carries a three-year change of +34712.03 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -2967.56% in FY2024 (+9480.41 pp), -12447.97% in FY2023 (+30124.03 pp) and -42572.00% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -28459.85% (Q3 2022) to -1566.67% (Q2 2024).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -491.29 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 20701.68 percentage points), and the weakest in Q2 2025 (a drop of 11643.33 percentage points).
- Business Quant data shows BTAIQ's Return on Sales [ROS] at -4962.62% (Q1 2026), -4016.41% (Q4 2025) and -14518.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | -5,600.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,600.55% |
| Mar 31, 2026 | -4,962.62% |
| Dec 31, 2025 | -4,016.41% |
| Sep 30, 2025 | -14,518.37% |
| Jun 30, 2025 | -13,210.00% |
| Mar 31, 2025 | -6,011.31% |
| Dec 31, 2024 | -2,866.94% |
| Sep 30, 2024 | -7,146.26% |
| Jun 30, 2024 | -1,566.67% |
| Mar 31, 2024 | -4,151.72% |
| Dec 31, 2023 | -5,285.90% |
| Sep 30, 2023 | -14,163.34% |
| Jun 30, 2023 | -11,469.15% |
| Mar 31, 2023 | -24,853.40% |
| Dec 31, 2022 | -22,224.37% |
| Sep 30, 2022 | -28,459.85% |
BioXcel Therapeutics Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();