Neurogene (NGNE) FCF Margin (2015 - 2024)
Neurogene's FCF Margin was -7720.11% in FY2024.
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Analysis
Neurogene (NGNE) FCF Margin (2015 - 2024) Analysis & Trends
- FCF Margin shows a five-year change of -7718.48 percentage points (FY2019 to FY2024).
- The FY2024 figure marks the highest annual FCF Margin since FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 33.76% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 25.03% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 18.33% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 26.96% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 38.60% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 6.55% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.70% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 44.00% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 2.01% |
| 10 | Neurogene | 547.56 Mn | -455.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -1,762.49% |
| Mar 31, 2023 | -1,442.22% |
| Dec 31, 2022 | -2,374.26% |
| Sep 30, 2022 | -1,719.32% |
| Jun 30, 2022 | -5,941.24% |
| Mar 31, 2022 | -111,869.23% |
| Dec 31, 2021 | -251,280.00% |
| Sep 30, 2021 | -155,716.67% |
| Sep 30, 2019 | -0.65% |
| Jun 30, 2018 | 36.61% |
| Sep 30, 2016 | -5,448.59% |
| Jun 30, 2016 | -6,413.28% |
| Mar 31, 2016 | -4,875.21% |
| Sep 30, 2015 | -51,344.44% |
| Jun 30, 2015 | -44,991.67% |
| Mar 31, 2015 | -42,040.00% |
API Access
Neurogene FCF 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=fcf-margin&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();