60 Degrees Pharmaceuticals (SXTP) Net Margin (2022 - 2026)
60 Degrees Pharmaceuticals' Net Margin came in at -1089.25% for Q2 2026, up 628.47 percentage points from -1717.72% a year earlier and up 199.66 percentage points from the prior quarter.
60 Degrees Pharmaceuticals (SXTP) Net Margin (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 60 Degrees Pharmaceuticals reported Net Margin of -729.86%, up 547.01 percentage points year-over-year; for FY2025, it came in at -732.51%, up 655.06 percentage points from FY2024.
- Net Margin has increased in each of the last three years, with a three-year change of +2037.93 percentage points (FY2022 to FY2025).
- Going back by year, Net Margin was -1387.57% in FY2024 (+160.14 pp), -1547.71% in FY2023 (+1222.74 pp) and -2770.44% in FY2022.
- The five-year range for quarterly Net Margin is -15148.79% (Q1 2023) to 7992.11% (Q3 2023).
- Year-over-year, Net Margin increased in five of the last eight quarters, with an average year-over-year change of -822.79 percentage points.
- The fastest year-over-year change in Net Margin over five years came in Q1 2024 (a gain of 15440.91 percentage points), and the weakest in Q3 2024 (a drop of 9671.39 percentage points).
- Business Quant data shows SXTP's Net Margin at -1288.91% (Q1 2026), -474.17% (Q4 2025) and -529.32% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 32.99% |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | -1,089.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,089.25% |
| Mar 31, 2026 | -1,288.91% |
| Dec 31, 2025 | -474.17% |
| Sep 30, 2025 | -529.32% |
| Jun 30, 2025 | -1,717.72% |
| Mar 31, 2025 | -1,225.67% |
| Dec 31, 2024 | -902.08% |
| Sep 30, 2024 | -1,679.28% |
| Jun 30, 2024 | -3,430.77% |
| Mar 31, 2024 | 292.12% |
| Dec 31, 2023 | -1,652.82% |
| Sep 30, 2023 | 7,992.11% |
| Jun 30, 2023 | -5,605.27% |
| Mar 31, 2023 | -15,148.79% |
| Sep 30, 2022 | -864.15% |
| Jun 30, 2022 | -4,752.62% |
60 Degrees Pharmaceuticals Net Margin 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=net-margin&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();