60 Degrees Pharmaceuticals (SXTP) EPS (Basic) (2022 - 2026)
60 Degrees Pharmaceuticals (SXTP) reported EPS (Basic) of -$0.85 for Q2 2026, compared with -$4.71 a year earlier.
Powered by 
Analysis
60 Degrees Pharmaceuticals (SXTP) EPS (Basic) (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 60 Degrees Pharmaceuticals' EPS (Basic) came in at -$3.06; for FY2025, it came in at -$10.99.
- By year, EPS (Basic) came in at -$74.18 in FY2024, -$237.84 in FY2023 and -$626.85 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly EPS (Basic) since Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.21 (Q1 2026), -$2.15 (Q4 2025) and -$2.52 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.30 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.68 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.87 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 4.40 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 4.34 |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | -0.85 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.85 |
| Mar 31, 2026 | -1.21 |
| Dec 31, 2025 | -2.15 |
| Sep 30, 2025 | -2.52 |
| Jun 30, 2025 | -4.71 |
| Mar 31, 2025 | -6.25 |
| Dec 31, 2024 | -19.18 |
| Sep 30, 2024 | -18.60 |
| Jun 30, 2024 | -84.50 |
| Mar 31, 2024 | 7.32 |
| Dec 31, 2023 | -125.89 |
| Sep 30, 2023 | 184.59 |
| Jun 30, 2023 | -336.79 |
| Mar 31, 2023 | -270.97 |
| Dec 31, 2022 | -167.95 |
| Sep 30, 2022 | -146.20 |
| Jun 30, 2022 | -219.32 |
API Access
60 Degrees Pharmaceuticals EPS (Basic) 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=eps-basic&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();