Dianthus Therapeutics (DNTH) Total Non-Current Liabilities (2018 - 2022)
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 - 2022) 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 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Dianthus Therapeutics | 3.76 Bn | 3.71 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2018 | 796,000.00 |
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();