Dianthus Therapeutics (DNTH) Price to Sales (2022 - 2025)
Dianthus Therapeutics' Price to Sales was 547.86 in Q3 2025, up 265.6% from 149.84 a year earlier and up 343.6% from the prior quarter.
Analysis
Dianthus Therapeutics (DNTH) Price to Sales (2022 - 2025) Analysis & Trends
For FY2024, Price to Sales at Dianthus Therapeutics came in at 108.79, up 473.6% from FY2023.
- In earlier years, Price to Sales was 18.97 in FY2023 (+902.1%) and 1.89 in FY2022.
- The Q3 2025 figure marks the highest quarterly Price to Sales in data going back to Q3 2022.
- Compared with a year earlier, Price to Sales was higher in three of the last five quarters, with growth averaging 260.1%.
- Per Business Quant data, DNTH's Price to Sales in the three quarters before Q3 2025 was 123.50 (Q2 2025), 89.33 (Q1 2025) and 108.79 (Q4 2024).
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 | Dianthus Therapeutics | 3.77 Bn | 3.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 547.86 |
| Jun 30, 2025 | 123.50 |
| Mar 31, 2025 | 89.33 |
| Dec 31, 2024 | 108.79 |
| Sep 30, 2024 | 149.84 |
| Jun 30, 2024 | 184.47 |
| Mar 31, 2024 | 208.44 |
| Dec 31, 2023 | 12.39 |
| Sep 30, 2023 | 4.67 |
| Jun 30, 2023 | 3.94 |
| Mar 31, 2023 | 4.93 |
| Dec 31, 2022 | 2.77 |
| Sep 30, 2022 | 72.79 |
API Access
Dianthus Therapeutics Price to Sales 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-sales&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "DNTH", "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-sales&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();