Inhibrx Biosciences (INBX) EPS (Diluted) (2023 - 2026)
Inhibrx Biosciences (INBX) recorded EPS (Diluted) of -$2.34 in Q2 2026, compared with -$1.85 a year earlier.
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Analysis
Inhibrx Biosciences (INBX) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a TTM basis, Inhibrx Biosciences' EPS (Diluted) came in at -$8.51 as of Jun 30, 2026; for FY2025, it came in at -$9.04.
- Across earlier years, EPS (Diluted) came in at $112.62 in FY2024 and -$20.48 in FY2023.
- The Q2 2026 figure is the lowest quarterly EPS (Diluted) since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.22 |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.09 |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.38 |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.04 |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 7.08 |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.94 |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 0.56 |
| 10 | Inhibrx Biosciences | 1.45 Bn | 882.42 Mn | - | -2.34 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.34 |
| Dec 31, 2025 | -2.12 |
| Sep 30, 2025 | -2.28 |
| Jun 30, 2025 | -1.85 |
| Mar 31, 2025 | -2.80 |
| Dec 31, 2024 | -3.19 |
| Sep 30, 2024 | -2.84 |
| Jun 30, 2024 | 125.48 |
| Mar 31, 2024 | -5.77 |
| Dec 31, 2023 | -7.94 |
| Sep 30, 2023 | -4.39 |
| Jun 30, 2023 | -4.31 |
API Access
Inhibrx Biosciences EPS (Diluted) 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=eps-diluted&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();