Dianthus Therapeutics (DNTH) Assets (2017 - 2025)
Dianthus Therapeutics (DNTH) recorded Assets of $530.92 million in Q4 2025, up 42.0% from $374.01 million a year earlier but down 8.1% from the prior quarter.
Analysis
Dianthus Therapeutics (DNTH) Assets (2017 - 2025) Analysis & Trends
Starting with Q4 2017, Dianthus Therapeutics' Assets history includes 32 quarters.
- Annual Assets has increased for three straight years, with a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- Across earlier years, Assets came in at $374.01 million in FY2024 (+108.5%), $179.41 million in FY2023 (+115.9%), $83.11 million in FY2022 (-56.2%) and $189.93 million in FY2021 (+17.5%).
- Quarterly Assets has ranged from $78.64 million in Q2 2023 to $577.45 million in Q3 2025 over the past five years.
- On a year-over-year basis, Assets rose in six of the last eight quarters, with growth averaging 125.6%.
- Peak year-over-year performance for Assets in the last five years was growth of 369.2% in Q2 2024, against a decline of 57.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $577.45 million (Q3 2025), $326.08 million (Q2 2025) and $348.58 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Dianthus Therapeutics | 3.76 Bn | 3.71 Bn | - | 530.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 530.92 Mn |
| Sep 30, 2025 | 577.45 Mn |
| Jun 30, 2025 | 326.08 Mn |
| Mar 31, 2025 | 348.58 Mn |
| Dec 31, 2024 | 374.01 Mn |
| Sep 30, 2024 | 354.25 Mn |
| Jun 30, 2024 | 368.96 Mn |
| Mar 31, 2024 | 382.46 Mn |
| Dec 31, 2023 | 179.41 Mn |
| Sep 30, 2023 | 192.46 Mn |
| Jun 30, 2023 | 78.64 Mn |
| Mar 31, 2023 | 83.44 Mn |
| Dec 31, 2022 | 83.11 Mn |
| Sep 30, 2022 | 164.12 Mn |
| Jun 30, 2022 | 175.12 Mn |
| Mar 31, 2022 | 194.39 Mn |
| Dec 31, 2021 | 189.93 Mn |
| Sep 30, 2021 | 206.24 Mn |
| Jun 30, 2021 | 220.38 Mn |
| Mar 31, 2021 | 144.62 Mn |
API Access
Dianthus Therapeutics Assets 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=assets&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();