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.
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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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Inhibrx Biosciences | 1.33 Bn | 760.41 Mn | - | -9,831.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9,831.62% |
| 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();