Corbus Pharmaceuticals Holdings (CRBP) Interest Expenses (2013 - 2024)
Corbus Pharmaceuticals Holdings (CRBP) reported Interest Expenses of $1.87 million for FY2024, down 51.5% from $3.86 million in FY2023.
Analysis
Corbus Pharmaceuticals Holdings (CRBP) Interest Expenses (2013 - 2024) Analysis & Trends
Dating back to FY2013, Corbus Pharmaceuticals Holdings' Interest Expenses record includes 5 years.
- The FY2024 figure ranks as the lowest annual Interest Expenses since FY2015.
- According to Business Quant data, Interest Expenses came in at $3.86 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Corbus Pharmaceuticals Holdings | 52.74 Mn | -463.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 381,000.00 |
| Jun 30, 2024 | 652,000.00 |
| Mar 31, 2024 | 839,000.00 |
| Dec 31, 2023 | 930,000.00 |
| Sep 30, 2023 | 980,000.00 |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2016 | 6,430.00 |
| Dec 31, 2015 | 1,068.00 |
| Jun 30, 2015 | 393.00 |
| Mar 31, 2015 | 979.00 |
| Dec 31, 2014 | 976.00 |
| Sep 30, 2014 | 650.00 |
| Jun 30, 2014 | 11,232.00 |
| Mar 31, 2014 | 11,163.00 |
| Dec 31, 2013 | 13,822.00 |
| Sep 30, 2013 | 9,367.00 |
API Access
Corbus Pharmaceuticals Holdings Interest 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=interest-expenses&ticker=CRBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CRBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=CRBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();