Dianthus Therapeutics (DNTH) Return on Sales [ROS] (2022 - 2026)
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 - 2026) 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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Dianthus Therapeutics | 5.00 Bn | 4.95 Bn | - | -4,832.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4,832.40% |
| Jun 30, 2026 | -7,685.25% |
| Mar 31, 2026 | -9,306.60% |
| Dec 31, 2025 | -24,486.27% |
| 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_KEYimport 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();