Neurogene (NGNE) Gains from Sales and Divestitures (2013 - 2023)
Neurogene's Gains from Sales and Divestitures was $200,000 in Q2 2023.
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Analysis
Neurogene (NGNE) Gains from Sales and Divestitures (2013 - 2023) Analysis & Trends
On a trailing twelve-month basis, Neurogene's Gains from Sales and Divestitures was -$108,000 through Jun 30, 2023; for FY2022, it was -$118,000.
- In earlier years, Gains from Sales and Divestitures was -$180,000 in FY2020 and -$5,000 in FY2019.
- The Q2 2023 figure marks the highest quarterly Gains from Sales and Divestitures in data going back to Q1 2013.
- Per Business Quant data, NGNE's Gains from Sales and Divestitures in the three quarters before Q2 2023 was -$190,000 (Q1 2023), -$10,000 (Q4 2022) and -$108,000 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Neurogene | 578.46 Mn | 578.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 200,000.00 |
| Mar 31, 2023 | -190,000.00 |
| Dec 31, 2022 | -10,000.00 |
| Sep 30, 2022 | -108,000.00 |
| Dec 31, 2020 | 20,000.00 |
| Sep 30, 2020 | -27,000.00 |
| Jun 30, 2020 | -200,000.00 |
| Dec 31, 2014 | 9,360.00 |
| Dec 31, 2013 | 10,200.00 |
| Sep 30, 2013 | 26,455.00 |
| Jun 30, 2013 | 68,502.00 |
| Mar 31, 2013 | 29,396.00 |
API Access
Neurogene Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();