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 311.7% from FY2022.
- Across earlier years, Total Non-Current Liabilities came in at $12.37 million in FY2022 and $125,708 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 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | NewAmsterdam Pharma | 2.43 Bn | -108.81 Mn | - | - |
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 | 11.41 Mn |
| Dec 31, 2022 | 12.37 Mn |
| Dec 31, 2021 | 125,707.81 |
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();