Pelthos Therapeutics (PTHS) Interest Expenses (2024 - 2026)
Pelthos Therapeutics (PTHS) reported Interest Expenses of $2.39 million for Q2 2026, up 995.9% from $218,000 a year earlier and up 1.5% from the prior quarter.
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Analysis
Pelthos Therapeutics (PTHS) Interest Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pelthos Therapeutics' Interest Expenses came in at $7.4 million; for FY2025, it came in at $3.01 million, up 283.2% from FY2024.
- By year, Interest Expenses came in at $786,000 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.35 million (Q1 2026), $1.31 million (Q4 2025) and $1.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | Pelthos Therapeutics | 79.95 Mn | -8.44 Mn | 11.99 Mn | 2.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Mn |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 1.35 Mn |
| Jun 30, 2025 | 218,000.00 |
| Mar 31, 2025 | 134,000.00 |
| Dec 31, 2024 | 108,000.00 |
| Sep 30, 2024 | 39,000.00 |
API Access
Pelthos Therapeutics 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=PTHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PTHS", "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=PTHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();