Dianthus Therapeutics (DNTH) Total Liabilities (2017 - 2025)
Dianthus Therapeutics' Total Liabilities came in at $37.52 million for Q4 2025, up 74.3% from $21.53 million a year earlier and up 21.1% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Total Liabilities (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Dianthus Therapeutics' Total Liabilities data covers 32 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $21.53 million in FY2024 (+104.4%), $10.54 million in FY2023 (-91.7%), $127.48 million in FY2022 (-38.5%) and $207.18 million in FY2021.
- The Q4 2025 figure represents the highest quarterly Total Liabilities since Q2 2023.
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 39.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 114.1%), and the weakest in Q3 2023 (a decline of 92.9%).
- Business Quant data shows DNTH's Total Liabilities at $30.99 million (Q3 2025), $23 million (Q2 2025) and $19.97 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Dianthus Therapeutics | 3.76 Bn | 3.71 Bn | - | 37.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.52 Mn |
| Sep 30, 2025 | 30.99 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 19.97 Mn |
| Dec 31, 2024 | 21.53 Mn |
| Sep 30, 2024 | 16.35 Mn |
| Jun 30, 2024 | 10.74 Mn |
| Mar 31, 2024 | 9.78 Mn |
| Dec 31, 2023 | 10.54 Mn |
| Sep 30, 2023 | 14.08 Mn |
| Jun 30, 2023 | 140.10 Mn |
| Mar 31, 2023 | 134.26 Mn |
| Dec 31, 2022 | 127.48 Mn |
| Sep 30, 2022 | 198.88 Mn |
| Jun 30, 2022 | 202.60 Mn |
| Mar 31, 2022 | 216.45 Mn |
| Dec 31, 2021 | 207.18 Mn |
| Sep 30, 2021 | 16.55 Mn |
| Jun 30, 2021 | 17.49 Mn |
| Mar 31, 2021 | 15.56 Mn |
API Access
Dianthus Therapeutics Total Liabilities 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=total-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();