60 Degrees Pharmaceuticals (SXTP) Return on Sales [ROS] (2022 - 2026)
60 Degrees Pharmaceuticals (SXTP) recorded Return on Sales [ROS] of -1092.41% in Q2 2026, up 499.08 percentage points from -1591.50% a year earlier and up 200.04 percentage points from the prior quarter.
60 Degrees Pharmaceuticals (SXTP) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, 60 Degrees Pharmaceuticals' Return on Sales [ROS] came in at -774.90% as of Jun 30, 2026, up 425.77 percentage points year-over-year; for FY2025, it was -771.64%, up 827.38 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +12.59 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -1599.01% in FY2024 (+433.77 pp), -2032.78% in FY2023 (-1248.56 pp) and -784.22% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -5536.13% in Q1 2023 to -127.90% in Q3 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +694.23 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4265.76 percentage points in Q1 2024, against a drop of 2844.98 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -1292.45% (Q1 2026), -631.99% (Q4 2025) and -531.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | 60 Degrees Pharmaceuticals | 3.70 Mn | 2.59 Mn | 56,798.00 | -1,092.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,092.41% |
| Mar 31, 2026 | -1,292.45% |
| Dec 31, 2025 | -631.99% |
| Sep 30, 2025 | -531.42% |
| Jun 30, 2025 | -1,591.50% |
| Mar 31, 2025 | -1,168.40% |
| Dec 31, 2024 | -854.72% |
| Sep 30, 2024 | -1,566.00% |
| Jun 30, 2024 | -3,351.75% |
| Mar 31, 2024 | -1,270.37% |
| Dec 31, 2023 | -1,507.12% |
| Sep 30, 2023 | -2,972.89% |
| Jun 30, 2023 | -1,323.65% |
| Mar 31, 2023 | -5,536.13% |
| Sep 30, 2022 | -127.90% |
| Jun 30, 2022 | -1,520.64% |
60 Degrees Pharmaceuticals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();