Neurogene (NGNE) Net Margin (2015 - 2024)
Neurogene (NGNE) posted Net Margin of -8123.68% for FY2024.
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Analysis
Neurogene (NGNE) Net Margin (2015 - 2024) Analysis & Trends
- Annual Net Margin shows a five-year change of -8116.73 percentage points (FY2019 to FY2024).
- The FY2024 figure stands as the highest annual Net Margin since FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | -1.65% |
| 10 | Neurogene | 549.09 Mn | -453.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -1,999.14% |
| Mar 31, 2023 | -1,297.67% |
| Dec 31, 2022 | -1,358.82% |
| Sep 30, 2022 | -2,338.46% |
| Jun 30, 2022 | -8,086.60% |
| Mar 31, 2022 | -118,084.62% |
| Dec 31, 2021 | -303,340.00% |
| Sep 30, 2021 | -257,433.33% |
| Sep 30, 2019 | -5.91% |
| Jun 30, 2018 | 11.67% |
| Sep 30, 2016 | -5,736.62% |
| Jun 30, 2016 | -8,516.41% |
| Mar 31, 2016 | -5,546.28% |
| Sep 30, 2015 | -55,944.44% |
| Jun 30, 2015 | -39,583.33% |
| Mar 31, 2015 | -42,746.67% |
API Access
Neurogene Net Margin 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=net-margin&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();