Lb Pharmaceuticals (LBRX) Operating Expenses (2024 - 2026)
Lb Pharmaceuticals (LBRX) reported Operating Expenses of $53.92 million for Q2 2026, compared with $4.86 million a year earlier and up 143.9% from the prior quarter.
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Analysis
Lb Pharmaceuticals (LBRX) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lb Pharmaceuticals' Operating Expenses came in at $95.14 million, up 189.1% year-over-year; for FY2025, it was $30.4 million, down 53.1% from FY2024.
- By year, Operating Expenses came in at $64.83 million in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.1 million (Q1 2026), $13.87 million (Q4 2025) and $5.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Lb Pharmaceuticals | 1.22 Bn | -82.84 Mn | - | 53.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.92 Mn |
| Mar 31, 2026 | 22.10 Mn |
| Dec 31, 2025 | 13.87 Mn |
| Sep 30, 2025 | 5.25 Mn |
| Jun 30, 2025 | 4.86 Mn |
| Mar 31, 2025 | 6.43 Mn |
| Dec 31, 2024 | 5.54 Mn |
| Sep 30, 2024 | 16.08 Mn |
API Access
Lb Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();