60 Degrees Pharmaceuticals (SXTP) EBITDA Margin (2022 - 2026)
60 Degrees Pharmaceuticals' EBITDA Margin came in at -1077.59% for Q2 2026, up 494.41 percentage points from -1572.00% a year earlier and up 198.90 percentage points from the prior quarter.
60 Degrees Pharmaceuticals (SXTP) EBITDA Margin (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 60 Degrees Pharmaceuticals reported EBITDA Margin of -765.62%, up 424.59 percentage points year-over-year; for FY2025, it was -763.39%, up 827.35 percentage points from FY2024.
- EBITDA Margin carries a three-year change of +6.15 percentage points (FY2022 to FY2025).
- Going back by year, EBITDA Margin was -1590.74% in FY2024 (+422.19 pp), -2012.94% in FY2023 (-1243.39 pp) and -769.54% in FY2022.
- The five-year range for quarterly EBITDA Margin is -3553.67% (Q1 2023) to -122.71% (Q3 2022).
- Year-over-year, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +678.57 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q1 2024 (a gain of 2410.10 percentage points), and the weakest in Q3 2023 (a drop of 2824.98 percentage points).
- Business Quant data shows SXTP's EBITDA Margin at -1276.49% (Q1 2026), -624.22% (Q4 2025) and -526.21% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 39.10% |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | -1,077.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,077.59% |
| Mar 31, 2026 | -1,276.49% |
| Dec 31, 2025 | -624.22% |
| Sep 30, 2025 | -526.21% |
| Jun 30, 2025 | -1,572.00% |
| Mar 31, 2025 | -1,158.13% |
| Dec 31, 2024 | -848.12% |
| Sep 30, 2024 | -1,555.17% |
| Jun 30, 2024 | -3,342.94% |
| Mar 31, 2024 | -1,143.58% |
| Dec 31, 2023 | -1,498.82% |
| Sep 30, 2023 | -2,947.69% |
| Jun 30, 2023 | -943.18% |
| Mar 31, 2023 | -3,553.67% |
| Sep 30, 2022 | -122.71% |
| Jun 30, 2022 | -1,503.26% |
60 Degrees Pharmaceuticals EBITDA 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=ebitda-margin&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();