60 Degrees Pharmaceuticals (SXTP) Capital Expenditures (2023 - 2026)
60 Degrees Pharmaceuticals' Capital Expenditures was $30,000 in Q1 2026, compared with $2,678 a year earlier and down 62.4% from the prior quarter.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Capital Expenditures (2023 - 2026) Analysis & Trends
For FY2025, Capital Expenditures at 60 Degrees Pharmaceuticals came in at $139,881, up 34.8% from FY2024.
- In earlier years, Capital Expenditures was $103,773 in FY2024 (+80.1%) and $57,623 in FY2023.
- Quarterly Capital Expenditures has moved between $2,678 (Q1 2025) and $79,881 (Q4 2025) over five years.
- Per Business Quant data, SXTP's Capital Expenditures in the three quarters before Q1 2026 was $79,881 (Q4 2025), $9,999 (Q3 2025) and $47,323 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 30,000.00 |
| Dec 31, 2025 | 79,881.00 |
| Sep 30, 2025 | 9,999.00 |
| Jun 30, 2025 | 47,323.00 |
| Mar 31, 2025 | 2,678.00 |
| Sep 30, 2024 | 13,773.00 |
| Dec 31, 2023 | 55,800.00 |
API Access
60 Degrees Pharmaceuticals Capital Expenditures 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=capital-expenditures&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();