60 Degrees Pharmaceuticals (SXTP) Price to Book (2023 - 2026)
60 Degrees Pharmaceuticals' (SXTP) Price to Book was 1.79 for Q2 2026, down 58.4% from 4.30 a year earlier but up 181.3% from the prior quarter.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at 60 Degrees Pharmaceuticals was 0.62, down 91.0% from FY2024.
- By year, Price to Book came in at 6.95 in FY2024 (+454.9%) and 1.25 in FY2023.
- Five-year quarterly Price to Book spans a low of 0.43 in Q1 2024 and a high of 6.95 in Q4 2024.
- Year over year, Price to Book has now declined in each of the last four quarters, with growth averaging 176.4% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was Q3 2024 (growth of 577.9%); the low point was Q4 2025 (a decline of 91.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.64 (Q1 2026), 0.62 (Q4 2025) and 1.37 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | 60 Degrees Pharmaceuticals | 3.54 Mn | 2.43 Mn | 56,798.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 |
| Mar 31, 2026 | 0.64 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 1.37 |
| Jun 30, 2025 | 4.30 |
| Mar 31, 2025 | 1.95 |
| Dec 31, 2024 | 6.95 |
| Sep 30, 2024 | 4.46 |
| Jun 30, 2024 | 1.04 |
| Mar 31, 2024 | 0.43 |
| Dec 31, 2023 | 1.25 |
| Sep 30, 2023 | 0.66 |
API Access
60 Degrees Pharmaceuticals Price to Book 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=price-to-book&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();