Genprex (GNPX) Receivables (2016 - 2022)
Genprex (GNPX) reported Receivables of $34,852 for Q4 2022, unchanged from the prior quarter.
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Analysis
Genprex (GNPX) Receivables (2016 - 2022) Analysis & Trends
Dating back to Q4 2016, Genprex's Receivables record includes 16 quarters.
- Receivables has a five-year compound annual growth rate of 31.6% (FY2017 to FY2022).
- By year, Receivables came in at $127.00 in FY2020 (-80.6%), $655.00 in FY2019 (-93.0%) and $9,297 in FY2018 (+5.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Genprex | 1.00 Mn | -41.14 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 34,852.00 |
| Sep 30, 2022 | 34,852.00 |
| Mar 31, 2022 | 32,171.00 |
| Sep 30, 2021 | 127.00 |
| Jun 30, 2021 | 127.00 |
| Mar 31, 2021 | 127.00 |
| Dec 31, 2020 | 127.00 |
| Sep 30, 2020 | 85.00 |
| Jun 30, 2020 | 85.00 |
| Dec 31, 2019 | 655.00 |
| Jun 30, 2019 | 10,741.00 |
| Dec 31, 2018 | 9,297.00 |
| Sep 30, 2018 | 9,157.00 |
| Mar 31, 2018 | 838.00 |
| Dec 31, 2017 | 8,844.00 |
| Dec 31, 2016 | 8,181.00 |
API Access
Genprex 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=GNPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GNPX", "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=GNPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();