Genprex (GNPX) Operating Expenses (2016 - 2026)
Genprex (GNPX) recorded Operating Expenses of $1.54 million in Q2 2026, down 7.3% from $1.66 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Genprex (GNPX) Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Genprex's Operating Expenses came in at $6.65 million as of Jun 30, 2026, down 44.7% year-over-year; for FY2025, it came in at $6.79 million, down 68.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $21.17 million in FY2024 (-31.8%), $31.06 million in FY2023 (+30.3%), $23.83 million in FY2022 (+15.3%) and $20.67 million in FY2021 (+15.1%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2018.
- On a year-over-year basis, Operating Expenses has declined for 11 consecutive quarters, with an average decline of 43.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 79.4% in Q3 2022, against a decline of 74.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.69 million (Q1 2026), $1.74 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Genprex | 988,908.54 | -41.15 Mn | -423,306.00 | 4.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.48 Mn |
| Mar 31, 2026 | 4.49 Mn |
| Dec 31, 2025 | 3.52 Mn |
| Sep 30, 2025 | 3.35 Mn |
| Jun 30, 2025 | 4.68 Mn |
| Mar 31, 2025 | 3.97 Mn |
| Dec 31, 2024 | 4.34 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 6.52 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 5.97 Mn |
| Sep 30, 2023 | 7.79 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Mar 31, 2023 | 9.26 Mn |
| Dec 31, 2022 | 6.58 Mn |
| Sep 30, 2022 | 6.17 Mn |
| Jun 30, 2022 | 5.77 Mn |
| Mar 31, 2022 | 5.31 Mn |
| Dec 31, 2021 | 6.75 Mn |
| Sep 30, 2021 | 3.44 Mn |
API Access
Genprex Operating 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=operating-expenses&ticker=GNPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GNPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();