Lb Pharmaceuticals (LBRX) Total Liabilities (2024 - 2026)
Lb Pharmaceuticals' Total Liabilities was $29.35 million in Q2 2026, up 98.4% from the prior quarter.
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Analysis
Lb Pharmaceuticals (LBRX) Total Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Lb Pharmaceuticals came in at $11.62 million, down 90.9% from FY2024.
- In earlier years, Total Liabilities was $128.09 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q4 2024.
- Per Business Quant data, LBRX's Total Liabilities in the three quarters before Q2 2026 was $14.79 million (Q1 2026), $11.62 million (Q4 2025) and $10.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Lb Pharmaceuticals | 1.09 Bn | 1.09 Bn | - | 29.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.35 Mn |
| Mar 31, 2026 | 14.79 Mn |
| Dec 31, 2025 | 11.62 Mn |
| Sep 30, 2025 | 10.53 Mn |
| Dec 31, 2024 | 128.09 Mn |
API Access
Lb Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();