NewAmsterdam Pharma (NAMS) Operating Leases (2021 - 2026)
NewAmsterdam Pharma (NAMS) posted Operating Leases of $56,000 for Q2 2026, down 45.6% from $103,000 a year earlier.
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Analysis
NewAmsterdam Pharma (NAMS) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, NewAmsterdam Pharma's Operating Leases came in at $66,000, down 67.3% from FY2024.
- Annual Operating Leases shows a four-year compound annual growth rate of -15.8% (FY2021 to FY2025).
- In prior years, NewAmsterdam Pharma's Operating Leases was $202,000 in FY2024, $60,000 in FY2022 (-54.3%) and $131,357 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | NewAmsterdam Pharma | 2.77 Bn | 2.77 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56,000.00 |
| Dec 31, 2025 | 66,000.00 |
| Sep 30, 2025 | 85,000.00 |
| Jun 30, 2025 | 103,000.00 |
| Mar 31, 2025 | 137,000.00 |
| Dec 31, 2024 | 202,000.00 |
| Sep 30, 2024 | 266,000.00 |
| Jun 30, 2024 | 328,000.00 |
| Jun 30, 2023 | 25,045.26 |
| Dec 31, 2022 | 57,133.85 |
| Dec 31, 2021 | 126,980.78 |
API Access
NewAmsterdam Pharma Operating Leases 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=operating-leases&ticker=NAMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();