Lb Pharmaceuticals (LBRX) EPS (Diluted) (2024 - 2026)
Lb Pharmaceuticals' EPS (Diluted) came in at -$1.71 for Q2 2026, compared with -$13.58 a year earlier.
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Analysis
Lb Pharmaceuticals (LBRX) EPS (Diluted) (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lb Pharmaceuticals reported EPS (Diluted) of -$2.01; for FY2025, it was $0.00.
- Going back by year, EPS (Diluted) was -$0.18 in FY2024.
- The five-year range for quarterly EPS (Diluted) is -$39.49 (Q3 2024) to $161.82 (Q4 2024).
- Business Quant data shows LBRX's EPS (Diluted) at -$0.67 (Q1 2026), $1.70 (Q4 2025) and -$0.61 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | -0.04 |
| 10 | Lb Pharmaceuticals | 1.23 Bn | -73.20 Mn | - | -1.71 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.71 |
| Mar 31, 2026 | -0.67 |
| Dec 31, 2025 | 1.70 |
| Sep 30, 2025 | -0.61 |
| Jun 30, 2025 | -13.58 |
| Mar 31, 2025 | -14.79 |
| Dec 31, 2024 | 161.82 |
| Sep 30, 2024 | -39.49 |
API Access
Lb Pharmaceuticals 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=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "LBRX", "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=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();