Lb Pharmaceuticals (LBRX) Cash & Equivalents (2024 - 2026)
Lb Pharmaceuticals (LBRX) posted Cash & Equivalents of $283.11 million for Q2 2026, down 11.7% from the prior quarter.
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Analysis
Lb Pharmaceuticals (LBRX) Cash & Equivalents (2024 - 2026) Analysis & Trends
At the end of FY2025, Lb Pharmaceuticals' Cash & Equivalents came in at $250.17 million, up 988.8% from FY2024.
- In prior years, Lb Pharmaceuticals' Cash & Equivalents was $22.98 million in FY2024.
- Quarterly Cash & Equivalents has run from a low of $22.98 million in Q4 2024 to a high of $320.68 million in Q1 2026 over five years.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $320.68 million (Q1 2026), $250.17 million (Q4 2025) and $269.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Lb Pharmaceuticals | 1.06 Bn | 1.06 Bn | - | 283.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.11 Mn |
| Mar 31, 2026 | 320.68 Mn |
| Dec 31, 2025 | 250.17 Mn |
| Sep 30, 2025 | 269.74 Mn |
| Dec 31, 2024 | 22.98 Mn |
API Access
Lb Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();