Monopar Therapeutics (MNPR) Operating Expenses (2017 - 2026)
Monopar Therapeutics (MNPR) recorded Operating Expenses of $6.64 million in Q2 2026, up 105.4% from $3.23 million a year earlier.
Monopar Therapeutics (MNPR) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Monopar Therapeutics' Operating Expenses came in at $17.19 million as of Jun 30, 2026, up 26.9% year-over-year; for FY2024, it came in at $8.6 million, down 2.6% from FY2023.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.7% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $8.83 million in FY2023 (-16.2%), $10.54 million in FY2022 (+15.4%), $9.13 million in FY2021 (+40.2%) and $6.51 million in FY2020 (+50.5%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2017.
- On a year-over-year basis, Operating Expenses rose in five of the last six quarters, with growth averaging 99.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 188.6% in Q4 2024, against a decline of 34.3% in Q4 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Monopar Therapeutics | 715.17 Mn | 433.40 Mn | - | 6.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.64 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 3.23 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 5.52 Mn |
| Sep 30, 2024 | 1.57 Mn |
| Jun 30, 2024 | 1.79 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 2.33 Mn |
| Mar 31, 2023 | 2.53 Mn |
| Dec 31, 2022 | 2.91 Mn |
| Sep 30, 2022 | 2.41 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 2.68 Mn |
| Sep 30, 2021 | 2.46 Mn |
| Jun 30, 2021 | 2.09 Mn |
| Mar 31, 2021 | 1.89 Mn |
Monopar Therapeutics 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=MNPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MNPR", "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=MNPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();