NewAmsterdam Pharma (NAMS) Return on Sales [ROS] (2023 - 2026)
NewAmsterdam Pharma's Return on Sales [ROS] came in at -1752.61% for Q2 2026, down 1566.48 percentage points from -186.13% a year earlier but up 169.10 percentage points from the prior quarter.
NewAmsterdam Pharma (NAMS) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NewAmsterdam Pharma reported Return on Sales [ROS] of -3432.20%, down 3162.24 percentage points year-over-year; for FY2025, it was -1002.90%, down 615.99 percentage points from FY2024.
- Return on Sales [ROS] carries a three-year change of -933.56 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -386.91% in FY2024 (+911.65 pp), -1298.56% in FY2023 (-1229.22 pp) and -69.34% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -206187.50% (Q4 2025) to -85.89% (Q3 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -26424.37 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 6021.93 percentage points), and the weakest in Q4 2025 (a drop of 205849.03 percentage points).
- Business Quant data shows NAMS's Return on Sales [ROS] at -1921.71% (Q1 2026), -206187.50% (Q4 2025) and -15845.69% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | NewAmsterdam Pharma | 2.73 Bn | 2.73 Bn | - | -1,752.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,752.61% |
| Mar 31, 2026 | -1,921.71% |
| Dec 31, 2025 | -206,187.50% |
| Sep 30, 2025 | -15,845.69% |
| Jun 30, 2025 | -186.13% |
| Mar 31, 2025 | -2,314.47% |
| Dec 31, 2024 | -338.47% |
| Sep 30, 2024 | -85.89% |
| Jun 30, 2024 | -2,306.93% |
| Mar 31, 2024 | -3,960.17% |
| Dec 31, 2023 | -6,360.40% |
| Sep 30, 2023 | -1,685.07% |
| Jun 30, 2023 | -2,474.20% |
| Mar 31, 2023 | -461.85% |
NewAmsterdam Pharma Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NAMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();