NewAmsterdam Pharma (NAMS) Price to Sales (2023 - 2026)
NewAmsterdam Pharma's Price to Sales was 559.92 in Q2 2026, compared with 31.83 a year earlier and up 238.4% from the prior quarter.
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Analysis
NewAmsterdam Pharma (NAMS) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at NewAmsterdam Pharma came in at 178.34, up 192.6% from FY2024.
- In earlier years, Price to Sales was 60.95 in FY2024 (-6.8%), 65.38 in FY2023 (+655.2%) and 8.66 in FY2022.
- The Q2 2026 figure marks the highest quarterly Price to Sales in data going back to Q4 2023.
- Compared with a year earlier, Price to Sales was higher in three of the last six quarters, with growth averaging 59.2%.
- Per Business Quant data, NAMS's Price to Sales in the three quarters before Q2 2026 was 165.46 (Q1 2026), 178.34 (Q4 2025) and 91.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | NewAmsterdam Pharma | 2.30 Bn | -236.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 112.35 |
| Jun 30, 2026 | 559.92 |
| Mar 31, 2026 | 165.46 |
| Dec 31, 2025 | 178.34 |
| Sep 30, 2025 | 91.33 |
| Jun 30, 2025 | 31.83 |
| Mar 31, 2025 | 48.71 |
| Dec 31, 2024 | 60.95 |
| Sep 30, 2024 | 45.54 |
| Jun 30, 2024 | 232.92 |
| Mar 31, 2024 | 309.22 |
| Dec 31, 2023 | 65.38 |
API Access
NewAmsterdam Pharma Price to Sales 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=price-to-sales&ticker=NAMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();