Lb Pharmaceuticals (LBRX) Change in Accured Expenses (2024 - 2026)
Lb Pharmaceuticals (LBRX) recorded Change in Accured Expenses of $12.54 million in Q2 2026, compared with -$1.55 million a year earlier and up 262.1% from the prior quarter.
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Analysis
Lb Pharmaceuticals (LBRX) Change in Accured Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Lb Pharmaceuticals' Change in Accured Expenses came in at $19.54 million as of Jun 30, 2026; for FY2025, it came in at -$910,000.
- Across earlier years, Change in Accured Expenses came in at $5.02 million in FY2024.
- Per Business Quant, the preceding three quarters came in at $3.46 million (Q1 2026), $1.97 million (Q4 2025) and $1.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Lb Pharmaceuticals | 1.06 Bn | 1.06 Bn | - | 12.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.54 Mn |
| Mar 31, 2026 | 3.46 Mn |
| Dec 31, 2025 | 1.97 Mn |
| Sep 30, 2025 | 1.57 Mn |
| Jun 30, 2025 | -1.55 Mn |
| Mar 31, 2025 | -2.89 Mn |
| Dec 31, 2024 | -2.93 Mn |
API Access
Lb Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();