60 Degrees Pharmaceuticals (SXTP) Non Operating Interest Expenses (2022 - 2026)
60 Degrees Pharmaceuticals (SXTP) posted Non Operating Interest Expenses of $1,403 for Q2 2026, up 14.9% from $1,221 a year earlier and up 1.0% from the prior quarter.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at 60 Degrees Pharmaceuticals was $7,586, up 28.6% year-over-year; for FY2025, it came in at $7,805, down 1.4% from FY2024.
- Annual Non Operating Interest Expenses has declined for three consecutive years, with a three-year compound annual growth rate of -87.5% (FY2022 to FY2025).
- In prior years, 60 Degrees Pharmaceuticals' Non Operating Interest Expenses was $7,912 in FY2024 (-99.7%), $2.29 million in FY2023 (-42.7%) and $3.99 million in FY2022.
- Quarterly Non Operating Interest Expenses has run from a low of $1,221 in Q2 2025 to a high of $1.22 million in Q3 2022 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last eight quarters, with an average decline of 10.4%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2025, with growth of 117.0%; the weakest was Q1 2024, with a decline of 99.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1,389 (Q1 2026), $3,086 (Q4 2025) and $1,708 (Q3 2025).
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 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | 1,403.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,403.00 |
| Mar 31, 2026 | 1,389.00 |
| Dec 31, 2025 | 3,086.00 |
| Sep 30, 2025 | 1,708.00 |
| Jun 30, 2025 | 1,221.00 |
| Mar 31, 2025 | 1,790.00 |
| Dec 31, 2024 | 1,422.00 |
| Sep 30, 2024 | 1,467.00 |
| Jun 30, 2024 | 3,621.00 |
| Mar 31, 2024 | 1,402.00 |
| Dec 31, 2023 | 5,446.00 |
| Sep 30, 2023 | 40,106.00 |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 905,519.00 |
API Access
60 Degrees Pharmaceuticals 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=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SXTP", "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=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();