Genprex (GNPX) Research & Development (2016 - 2026)
Genprex (GNPX) posted Research & Development of $1.54 million for Q2 2026, down 7.3% from $1.66 million a year earlier and down 9.0% from the prior quarter.
Genprex (GNPX) Research & Development (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Genprex was $6.65 million, down 25.8% year-over-year; for FY2025, it was $6.79 million, down 35.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Genprex's Research & Development was $10.54 million in FY2024 (-40.2%), $17.62 million in FY2023 (+53.1%), $11.51 million in FY2022 (+28.3%) and $8.97 million in FY2021 (+22.8%).
- The Q2 2026 figure stands as the lowest quarterly Research & Development since Q3 2021.
- On a year-over-year basis, Research & Development has declined in each of the last ten quarters, with an average decline of 24.8% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2023, with growth of 160.3%; the weakest was Q2 2024, with a decline of 58.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $1.69 million (Q1 2026), $1.74 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Genprex | 955,456.02 | -41.18 Mn | - | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.74 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 1.66 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.76 Mn |
| Jun 30, 2024 | 1.67 Mn |
| Mar 31, 2024 | 3.27 Mn |
| Dec 31, 2023 | 3.71 Mn |
| Sep 30, 2023 | 4.62 Mn |
| Jun 30, 2023 | 3.98 Mn |
| Mar 31, 2023 | 5.31 Mn |
| Dec 31, 2022 | 3.39 Mn |
| Sep 30, 2022 | 3.16 Mn |
| Jun 30, 2022 | 2.93 Mn |
| Mar 31, 2022 | 2.04 Mn |
| Dec 31, 2021 | 3.84 Mn |
| Sep 30, 2021 | 1.43 Mn |
Genprex Research & Development 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=research-and-development&ticker=GNPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GNPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();