60 Degrees Pharmaceuticals (SXTP) Operating Expenses (2022 - 2026)
60 Degrees Pharmaceuticals (SXTP) reported Operating Expenses of $2.33 million for Q2 2026, up 24.9% from $1.86 million a year earlier and up 7.2% from the prior quarter.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 60 Degrees Pharmaceuticals' Operating Expenses came in at $8.93 million, up 7.2% year-over-year; for FY2025, it was $8.39 million, down 16.2% from FY2024.
- Operating Expenses has a three-year compound annual growth rate of 66.1% (FY2022 to FY2025).
- By year, Operating Expenses came in at $10.01 million in FY2024 (+102.9%), $4.93 million in FY2023 (+169.7%) and $1.83 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 10.5%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 533.7%); the low point was Q2 2025 (a decline of 55.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.17 million (Q1 2026), $2.11 million (Q4 2025) and $2.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | 2.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Mn |
| Mar 31, 2026 | 2.17 Mn |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 2.32 Mn |
| Jun 30, 2025 | 1.86 Mn |
| Mar 31, 2025 | 2.09 Mn |
| Dec 31, 2024 | 2.22 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 4.22 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.79 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 666,667.00 |
| Mar 31, 2023 | 899,008.00 |
| Dec 31, 2022 | 513,022.00 |
| Sep 30, 2022 | 441,282.00 |
| Jun 30, 2022 | 637,232.00 |
API Access
60 Degrees Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();