Dianthus Therapeutics (DNTH) Total Non-Current Liabilities (2018 - 2025)
Dianthus Therapeutics (DNTH) reported Total Non-Current Liabilities of $127.48 million for Q4 2022, down 36.5% from $200.78 million a year earlier and down 35.9% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Total Non-Current Liabilities (2018 - 2025) Analysis & Trends
Dating back to Q2 2018, Dianthus Therapeutics' Total Non-Current Liabilities record includes 19 quarters.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 218.0% (FY2018 to FY2022).
- By year, Total Non-Current Liabilities came in at $200.78 million in FY2021, $11.41 million in FY2020 (-19.1%), $14.12 million in FY2019 and $1.25 million in FY2018.
- The Q4 2022 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2021.
- Year over year, Total Non-Current Liabilities gained in two of the last four quarters, with an average decline of 13.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2019 (growth of 791.6%); the low point was Q4 2022 (a decline of 36.5%).
- Per Business Quant data, the three quarters before Q4 2022 came in at $198.88 million (Q3 2022), $202.6 million (Q2 2022) and $216.45 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Dianthus Therapeutics | 5.00 Bn | 4.95 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 24.28 Mn |
| Dec 31, 2024 | 12.38 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 | 200.78 Mn |
| Sep 30, 2021 | 10.15 Mn |
| Jun 30, 2021 | 11.08 Mn |
| Mar 31, 2021 | 9.21 Mn |
| Dec 31, 2020 | 11.41 Mn |
| Sep 30, 2020 | 9.86 Mn |
| Jun 30, 2020 | 10.37 Mn |
| Mar 31, 2020 | 12.70 Mn |
| Dec 31, 2019 | 14.12 Mn |
| Sep 30, 2019 | 9.63 Mn |
| Jun 30, 2019 | 9.94 Mn |
| Mar 31, 2019 | 7.92 Mn |
| Dec 31, 2018 | 1.25 Mn |
| Sep 30, 2018 | 1.08 Mn |
API Access
Dianthus Therapeutics Total Non-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-non-current-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();