NewAmsterdam Pharma (NAMS) EBITDA (2023 - 2026)
NewAmsterdam Pharma's EBITDA was -$64.81 million in Q2 2026, compared with -$35.59 million a year earlier.
NewAmsterdam Pharma (NAMS) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, NewAmsterdam Pharma's EBITDA was -$244.16 million through Jun 30, 2026; for FY2025, it came in at -$225.46 million.
- In earlier years, EBITDA was -$176.18 million in FY2024, -$182.92 million in FY2023, -$71.13 million in FY2022 and -$35.29 million in FY2021.
- Quarterly EBITDA has moved between -$68.87 million (Q1 2025) and -$24.98 million (Q3 2024) over five years.
- Per Business Quant data, NAMS's EBITDA in the three quarters before Q2 2026 was -$58.36 million (Q1 2026), -$65.92 million (Q4 2025) and -$55.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.89 Bn |
| 10 | NewAmsterdam Pharma | 2.66 Bn | 49.48 Mn | - | -64.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.86 Mn |
| Mar 31, 2026 | -58.35 Mn |
| Dec 31, 2025 | -65.95 Mn |
| Sep 30, 2025 | -55.48 Mn |
| Jun 30, 2025 | -36.06 Mn |
| Mar 31, 2025 | -69.39 Mn |
| Dec 31, 2024 | -43.18 Mn |
| Sep 30, 2024 | -24.98 Mn |
| Jun 30, 2024 | -52.56 Mn |
| Mar 31, 2024 | -55.47 Mn |
| Dec 31, 2023 | -51.06 Mn |
| Sep 30, 2023 | -49.54 Mn |
| Jun 30, 2023 | -42.47 Mn |
| Mar 31, 2023 | -39.84 Mn |
NewAmsterdam Pharma EBITDA 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=ebitda&ticker=NAMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();