Neurogene (NGNE) Other Accumulated Expenses (2013 - 2022)
Neurogene's Other Accumulated Expenses was $1.17 million in Q4 2022, down 4.6% from $1.23 million a year earlier.
Analysis
Neurogene (NGNE) Other Accumulated Expenses (2013 - 2022) Analysis & Trends
From Q4 2013 onward, Neurogene has reported Other Accumulated Expenses for 9 quarters.
- Other Accumulated Expenses shows a four-year compound annual growth rate of 48.6% (FY2018 to FY2022).
- In earlier years, Other Accumulated Expenses was $1.23 million in FY2021 (+32.4%), $927,000 in FY2020 (+173.5%), $339,000 in FY2019 (+41.3%) and $240,000 in FY2018.
- The Q4 2022 figure marks the lowest quarterly Other Accumulated Expenses since Q4 2020.
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 |
|---|---|
| Dec 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 1.23 Mn |
| Dec 31, 2020 | 927,000.00 |
| Dec 31, 2019 | 339,000.00 |
| Dec 31, 2018 | 240,000.00 |
| Dec 31, 2014 | 3.75 Mn |
| Jun 30, 2014 | 19,727.00 |
| Mar 31, 2014 | 16,907.00 |
| Dec 31, 2013 | 565,170.00 |
API Access
Neurogene Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NGNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();