Neurogene (NGNE) Return on Sales [ROS] (2015 - 2025)
Neurogene (NGNE) recorded Return on Sales [ROS] of -10345.08% in Q2 2025, down 8168.43 percentage points from -2176.65% a year earlier.
Analysis
Neurogene (NGNE) Return on Sales [ROS] (2015 - 2025) Analysis & Trends
For FY2024, Neurogene reported Return on Sales [ROS] of -8930.27%.
- Annual Return on Sales [ROS] has a five-year change of -8923.17 percentage points (FY2019 to FY2024).
- The Q2 2025 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Neurogene | 531.10 Mn | -471.90 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -10,345.08% |
| Dec 31, 2024 | -8,930.27% |
| Sep 30, 2024 | -8,197.41% |
| Jun 30, 2024 | -2,176.65% |
| Dec 31, 2023 | -5,881.80% |
| Sep 30, 2023 | -2,982.45% |
| Jun 30, 2023 | -2,194.44% |
| Mar 31, 2023 | -1,379.37% |
| Dec 31, 2022 | -1,430.27% |
| Sep 30, 2022 | -2,434.53% |
| Jun 30, 2022 | -8,180.93% |
| Mar 31, 2022 | -118,192.31% |
| Dec 31, 2021 | -303,480.00% |
| Sep 30, 2021 | -257,533.33% |
| Sep 30, 2019 | -5.95% |
| Dec 31, 2018 | -136.58% |
| Sep 30, 2018 | -162.68% |
| Jun 30, 2018 | 10.76% |
| Sep 30, 2016 | -5,736.62% |
| Jun 30, 2016 | -8,516.41% |
API Access
Neurogene 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=NGNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NGNE", "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=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();