Monopar Therapeutics (MNPR) EBIT (2017 - 2026)
Monopar Therapeutics' EBIT was -$6.64 million in Q2 2026, compared with -$3.23 million a year earlier.
Analysis
Monopar Therapeutics (MNPR) EBIT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monopar Therapeutics' EBIT was -$17.19 million through Jun 30, 2026; for FY2025, it was -$13.72 million.
- In earlier years, EBIT was -$15.59 million in FY2024, -$8.83 million in FY2023, -$10.54 million in FY2022 and -$9.13 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly EBIT since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Monopar Therapeutics | 715.17 Mn | 433.40 Mn | - | -6.64 Mn |
Historic Data
Download Data
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 |
| 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 |
| Dec 31, 2020 | -2.26 Mn |
API Access
Monopar Therapeutics EBIT 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=ebit&ticker=MNPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MNPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();