Lb Pharmaceuticals (LBRX) Depreciation & Amortization (CF) (2025 - 2026)
Lb Pharmaceuticals (LBRX) recorded Depreciation & Amortization (CF) of $97,000 in Q2 2026, up 27.6% from $76,000 a year earlier and up 18.3% from the prior quarter.
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Analysis
Lb Pharmaceuticals (LBRX) Depreciation & Amortization (CF) (2025 - 2026) Analysis & Trends
On a TTM basis, Lb Pharmaceuticals' Depreciation & Amortization (CF) came in at $336,000 as of Jun 30, 2026; for FY2025, it came in at $321,000, up 252.7% from FY2024.
- Across earlier years, Depreciation & Amortization (CF) came in at $91,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Lb Pharmaceuticals | 1.45 Bn | 410.04 Mn | - | 124,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 124,000.00 |
| Jun 30, 2026 | 97,000.00 |
| Mar 31, 2026 | 82,000.00 |
| Sep 30, 2025 | 81,000.00 |
| Jun 30, 2025 | 76,000.00 |
| Mar 31, 2025 | 79,000.00 |
API Access
Lb Pharmaceuticals Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=LBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=LBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();