Inhibrx Biosciences (INBX) Return on Sales [ROS] (2023 - 2026)
Inhibrx Biosciences (INBX) recorded Return on Sales [ROS] of -9559.46% in Q2 2026, down 7452.62 percentage points from -2106.85% a year earlier.
Powered by 
Analysis
Inhibrx Biosciences (INBX) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For FY2025, Inhibrx Biosciences reported Return on Sales [ROS] of -10386.54%, up 155337.46 percentage points from FY2024.
- Across earlier years, Return on Sales [ROS] came in at -165724.00% in FY2024 (-153545.06 pp) and -12178.94% in FY2023.
- Quarterly Return on Sales [ROS] has ranged from -160898.00% in Q2 2024 to -2106.85% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last six quarters, with an average year-over-year change of +29100.85 percentage points.
Peer Set
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 | Inhibrx Biosciences | 1.43 Bn | 1.43 Bn | - | -9,559.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9,559.46% |
| Dec 31, 2025 | -9,644.64% |
| Sep 30, 2025 | -11,002.14% |
| Jun 30, 2025 | -2,106.85% |
| Dec 31, 2024 | -49,928.00% |
| Sep 30, 2024 | -19,957.31% |
| Jun 30, 2024 | -160,898.00% |
| Dec 31, 2023 | -5,403.24% |
| Sep 30, 2023 | -38,510.08% |
| Jun 30, 2023 | -137,796.67% |
API Access
Inhibrx Biosciences 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=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INBX", "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=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();