OS Therapies (OSTX) Interest Expenses (2023 - 2026)
OS Therapies (OSTX) posted Interest Expenses of $5,581 for Q2 2026, down 92.6% from the prior quarter.
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Analysis
OS Therapies (OSTX) Interest Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at OS Therapies was $526,320; for FY2024, it was $2.05 million, down 40.5% from FY2023.
- In prior years, OS Therapies' Interest Expenses was $3.45 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses in data going back to Q1 2023.
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 | OS Therapies | 7.73 Mn | 7.73 Mn | - | 5,581.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,581.00 |
| Mar 31, 2026 | 75,344.00 |
| Dec 31, 2024 | 7,556.00 |
| Sep 30, 2024 | 437,839.00 |
| Jun 30, 2024 | 777,681.00 |
| Mar 31, 2024 | 828,760.00 |
| Dec 31, 2023 | 307,534.00 |
| Sep 30, 2023 | 1.35 Mn |
| Jun 30, 2023 | 989,684.00 |
| Mar 31, 2023 | 798,938.00 |
API Access
OS Therapies 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=OSTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OSTX", "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=OSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();