Biofrontera (BFRI) Non Operating Interest Expenses (2023 - 2025)
Biofrontera (BFRI) reported Non Operating Interest Expenses of $120,000 for Q1 2025, down 91.6% from $1.42 million a year earlier and down 80.7% from the prior quarter.
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Analysis
Biofrontera (BFRI) Non Operating Interest Expenses (2023 - 2025) Analysis & Trends
Over the twelve months ended Mar 31, 2025, Biofrontera's Non Operating Interest Expenses came in at $2.17 million; for FY2024, it was $2.11 million, up 770.2% from FY2023.
- By year, Non Operating Interest Expenses came in at $242,000 in FY2023.
- Five-year quarterly Non Operating Interest Expenses spans a low of $9,000 in Q3 2024 and a high of $1.42 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Biofrontera | 15.34 Mn | -6.45 Mn | 9.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 120,000.00 |
| Dec 31, 2024 | 621,000.00 |
| Sep 30, 2024 | 9,000.00 |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 143,000.00 |
| Sep 30, 2023 | 65,000.00 |
API Access
Biofrontera Non Operating 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=non-operating-interest-expenses&ticker=BFRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BFRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=BFRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();