Neurogene (NGNE) Receivables (2013 - 2015)
Neurogene (NGNE) posted Receivables of $32,000 for Q4 2015, down 50.8% from $65,000 a year earlier but up 68.4% from the prior quarter.
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Analysis
Neurogene (NGNE) Receivables (2013 - 2015) Analysis & Trends
Since Q4 2013, Neurogene has reported Receivables for 9 quarters.
- In prior years, Neurogene's Receivables was $65,000 in FY2014 (+132.6%) and $27,946 in FY2013.
- Quarterly Receivables has run from a low of $19,000 in Q3 2015 to a high of $76,243 in Q3 2014 over five years.
- On a year-over-year basis, Receivables increased in two of the last five quarters, with growth averaging 21.6%.
- According to Business Quant data, Receivables for the three prior quarters was $19,000 (Q3 2015), $72,000 (Q2 2015) and $57,000 (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 14.33 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Neurogene | 577.56 Mn | -425.44 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 32,000.00 |
| Sep 30, 2015 | 19,000.00 |
| Jun 30, 2015 | 72,000.00 |
| Mar 31, 2015 | 57,000.00 |
| Dec 31, 2014 | 65,000.00 |
| Sep 30, 2014 | 76,243.00 |
| Jun 30, 2014 | 33,375.00 |
| Mar 31, 2014 | 66,526.00 |
| Dec 31, 2013 | 27,946.00 |
API Access
Neurogene Receivables 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=receivables&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();