Dianthus Therapeutics (DNTH) Return on Equity [ROE] (2018 - 2025)
Dianthus Therapeutics' Return on Equity [ROE] came in at -29.54% for Q3 2025, down 10.26 percentage points from -19.27% a year earlier but up 6.65 percentage points from the prior quarter.
Dianthus Therapeutics (DNTH) Return on Equity [ROE] (2018 - 2025) Analysis & Trends
For FY2024, Dianthus Therapeutics' Return on Equity [ROE] was -32.42%, up 37.32 percentage points from FY2023.
- Return on Equity [ROE] carries a five-year change of +21.11 percentage points (FY2019 to FY2024).
- Going back by year, Return on Equity [ROE] was -69.73% in FY2023, -112.33% in FY2021 (-59.76 pp) and -52.57% in FY2020 (+0.96 pp).
- The five-year range for quarterly Return on Equity [ROE] is -82.51% (Q4 2021) to -15.42% (Q2 2024).
- Year-over-year, Return on Equity [ROE] has declined for three consecutive quarters, with an average year-over-year change of +2.54 percentage points over the last five quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q3 2024 (a gain of 54.20 percentage points), and the weakest in Q4 2021 (a drop of 32.96 percentage points).
- Business Quant data shows DNTH's Return on Equity [ROE] at -36.19% (Q2 2025), -29.44% (Q1 2025) and -24.48% (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Dianthus Therapeutics | 3.77 Bn | 3.72 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -29.54% |
| Jun 30, 2025 | -36.19% |
| Mar 31, 2025 | -29.44% |
| Dec 31, 2024 | -24.48% |
| Sep 30, 2024 | -19.27% |
| Jun 30, 2024 | -15.42% |
| Mar 31, 2024 | -18.45% |
| Dec 31, 2023 | -25.00% |
| Sep 30, 2023 | -73.47% |
| Dec 31, 2021 | -82.51% |
| Sep 30, 2021 | -35.67% |
| Jun 30, 2021 | -42.33% |
| Mar 31, 2021 | -53.06% |
| Dec 31, 2020 | -49.55% |
| Sep 30, 2020 | -48.13% |
| Jun 30, 2020 | -55.67% |
| Mar 31, 2020 | -61.48% |
| Dec 31, 2019 | -50.72% |
| Sep 30, 2019 | -41.17% |
| Jun 30, 2019 | -41.61% |
Dianthus Therapeutics Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();