Dianthus Therapeutics (DNTH) Return on Sales [ROS] (2022 - 2025)
Dianthus Therapeutics' Return on Sales [ROS] was -10173.74% in Q3 2025, down 8797.13 percentage points from -1376.61% a year earlier but up 7923.15 percentage points from the prior quarter.
Dianthus Therapeutics (DNTH) Return on Sales [ROS] (2022 - 2025) Analysis & Trends
On a trailing twelve-month basis, Dianthus Therapeutics' Return on Sales [ROS] was -4558.41% through Sep 30, 2025, down 3013.43 percentage points year-over-year; for FY2024, it came in at -1633.74%, up 70.93 percentage points from FY2023.
- In earlier years, Return on Sales [ROS] was -1704.67% in FY2023 (-1472.91 pp) and -231.76% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -18096.89% (Q2 2025) and -141.16% (Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -3787.29 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 428.07 percentage points); the worst was Q2 2025 (a drop of 16905.05 percentage points).
- Per Business Quant data, DNTH's Return on Sales [ROS] in the three quarters before Q3 2025 was -18096.89% (Q2 2025), -2852.71% (Q1 2025) and -2406.94% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Dianthus Therapeutics | 3.78 Bn | 3.73 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -10,173.74% |
| Jun 30, 2025 | -18,096.89% |
| Mar 31, 2025 | -2,852.71% |
| Dec 31, 2024 | -2,406.94% |
| Sep 30, 2024 | -1,376.61% |
| Jun 30, 2024 | -1,191.84% |
| Mar 31, 2024 | -2,041.65% |
| Dec 31, 2023 | -2,835.01% |
| Sep 30, 2023 | -1,705.52% |
| Jun 30, 2023 | -598.07% |
| Mar 31, 2023 | -787.19% |
| Dec 31, 2022 | -141.16% |
| Sep 30, 2022 | -703.67% |
Dianthus Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();