60 Degrees Pharmaceuticals (SXTP) Total Debt (2022 - 2025)
60 Degrees Pharmaceuticals' Total Debt was $152,775 in Q4 2025, down 2.0% from $155,891 a year earlier.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Total Debt (2022 - 2025) Analysis & Trends
From Q4 2022 onward, 60 Degrees Pharmaceuticals has reported Total Debt for 6 quarters.
- Total Debt shows a three-year compound annual growth rate of -81.0% (FY2022 to FY2025).
- In earlier years, Total Debt was $155,891 in FY2024, $13,650 in FY2023 (-99.9%) and $22.24 million in FY2022.
- The Q4 2025 figure marks the lowest quarterly Total Debt since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.82 Bn | 1,135.41 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 644.52 Bn | 564.38 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 501.88 Bn | 474.99 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 358.72 Bn | 313.10 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 302.27 Bn | 266.26 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 267.62 Bn | 241.31 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 241.67 Bn | 197.07 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 171.60 Bn | 118.24 Bn | 10.94 Bn | 63.19 Bn |
| 10 | 60 Degrees Pharmaceuticals | 2.29 Mn | 1.27 Mn | 56,798.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 152,775.00 |
| Dec 31, 2024 | 155,891.00 |
| Mar 31, 2024 | 8,772.00 |
| Dec 31, 2023 | 22,422.00 |
| Sep 30, 2023 | 2.17 Mn |
| Jun 30, 2023 | 51.85 Mn |
| Dec 31, 2022 | 22.24 Mn |
API Access
60 Degrees Pharmaceuticals Total Debt 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=total-debt&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();