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 -999.44 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 (-1295.10 pp) and -3.46% 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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | NewAmsterdam Pharma | 2.30 Bn | -236.30 Mn | - | -230.58% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -230.58% |
| Jun 30, 2026 | -1,752.61% |
| Mar 31, 2026 | -1,921.71% |
| Dec 31, 2025 | -206,184.38% |
| Sep 30, 2025 | -15,845.98% |
| 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();