Dianthus Therapeutics (DNTH) Total Current Liabilities (2017 - 2025)
Dianthus Therapeutics (DNTH) posted Total Current Liabilities of $30.73 million for Q4 2025, up 66.6% from $18.45 million a year earlier and up 28.8% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Total Current Liabilities (2017 - 2025) Analysis & Trends
Since Q4 2017, Dianthus Therapeutics has reported Total Current Liabilities for 32 quarters.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Dianthus Therapeutics' Total Current Liabilities was $18.45 million in FY2024 (+91.6%), $9.63 million in FY2023 (+17.1%), $8.23 million in FY2022 (-24.3%) and $10.86 million in FY2021 (-5.0%).
- The Q4 2025 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last ten quarters, with growth averaging 77.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2024, with growth of 148.6%; the weakest was Q2 2023, with a decline of 64.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $23.86 million (Q3 2025), $20.09 million (Q2 2025) and $16.95 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Dianthus Therapeutics | 3.76 Bn | 3.71 Bn | - | 30.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 30.73 Mn |
| Sep 30, 2025 | 23.86 Mn |
| Jun 30, 2025 | 20.09 Mn |
| Mar 31, 2025 | 16.95 Mn |
| Dec 31, 2024 | 18.45 Mn |
| Sep 30, 2024 | 15.71 Mn |
| Jun 30, 2024 | 10.03 Mn |
| Mar 31, 2024 | 8.96 Mn |
| Dec 31, 2023 | 9.63 Mn |
| Sep 30, 2023 | 13.08 Mn |
| Jun 30, 2023 | 4.03 Mn |
| Mar 31, 2023 | 5.98 Mn |
| Dec 31, 2022 | 8.23 Mn |
| Sep 30, 2022 | 12.92 Mn |
| Jun 30, 2022 | 11.26 Mn |
| Mar 31, 2022 | 14.09 Mn |
| Dec 31, 2021 | 10.86 Mn |
| Sep 30, 2021 | 10.15 Mn |
| Jun 30, 2021 | 11.08 Mn |
| Mar 31, 2021 | 9.21 Mn |
API Access
Dianthus Therapeutics Total Current 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-current-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();