NewAmsterdam Pharma (NAMS) Total Non-Current Liabilities (2021 - 2024)
NewAmsterdam Pharma (NAMS) recorded Total Non-Current Liabilities of $41.52 million in Q3 2024, down 9.5% from the prior quarter.
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Analysis
NewAmsterdam Pharma (NAMS) Total Non-Current Liabilities (2021 - 2024) Analysis & Trends
At the end of FY2023, NewAmsterdam Pharma reported Total Non-Current Liabilities of $50.92 million, up 316.4% from FY2022.
- Across earlier years, Total Non-Current Liabilities came in at $12.23 million in FY2022 and $131,357 in FY2021.
- The Q3 2024 figure is the lowest quarterly Total Non-Current Liabilities since Q2 2023.
- Per Business Quant, the preceding three quarters came in at $45.86 million (Q2 2024), $60.17 million (Q1 2024) and $50.92 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | NewAmsterdam Pharma | 2.86 Bn | 2.86 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 41.52 Mn |
| Jun 30, 2024 | 45.86 Mn |
| Mar 31, 2024 | 60.17 Mn |
| Dec 31, 2023 | 50.92 Mn |
| Jun 30, 2023 | 11.43 Mn |
| Dec 31, 2022 | 11.84 Mn |
| Dec 31, 2021 | 126,980.78 |
API Access
NewAmsterdam Pharma 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=NAMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NAMS", "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=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();