Lb Pharmaceuticals (LBRX) EBIT (2024 - 2026)
Lb Pharmaceuticals (LBRX) recorded EBIT of -$51.6 million in Q2 2026, compared with -$4.87 million a year earlier.
Powered by 
Analysis
Lb Pharmaceuticals (LBRX) EBIT (2024 - 2026) Analysis & Trends
On a TTM basis, Lb Pharmaceuticals' EBIT came in at -$85.68 million as of Jun 30, 2026; for FY2025, it came in at -$25.2 million.
- Across earlier years, EBIT came in at -$63.1 million in FY2024.
- The Q2 2026 figure is the lowest quarterly EBIT in data going back to Q3 2024.
- Per Business Quant, the preceding three quarters came in at -$19.05 million (Q1 2026), -$11.47 million (Q4 2025) and -$3.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.91 Bn | 1,101.50 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 615.07 Bn | 533.59 Bn | 17.26 Bn | 7.14 Bn |
| 3 | AbbVie | 505.92 Bn | 479.03 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 368.10 Bn | 322.48 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 298.25 Bn | 262.24 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 261.76 Bn | 235.45 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 236.19 Bn | 191.59 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 190.38 Bn | 164.57 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 170.37 Bn | 117.02 Bn | 10.94 Bn | 4.27 Bn |
| 10 | Lb Pharmaceuticals | 1.22 Bn | -80.43 Mn | - | -51.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51.60 Mn |
| Mar 31, 2026 | -19.05 Mn |
| Dec 31, 2025 | -11.47 Mn |
| Sep 30, 2025 | -3.56 Mn |
| Jun 30, 2025 | -4.87 Mn |
| Mar 31, 2025 | -5.31 Mn |
| Dec 31, 2024 | -5.07 Mn |
| Sep 30, 2024 | -14.18 Mn |
API Access
Lb Pharmaceuticals EBIT 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=ebit&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();