Monopar Therapeutics (MNPR) Other Operating Expenses (2017 - 2025)
Monopar Therapeutics (MNPR) reported Other Operating Expenses of $4.77 million for Q2 2026, up 175.5% from $1.73 million a year earlier.
Monopar Therapeutics (MNPR) Other Operating Expenses (2017 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Monopar Therapeutics' Other Operating Expenses came in at $10.73 million, up 95.5% year-over-year; for FY2023, it was $5.6 million, down 26.2% from FY2022.
- Other Operating Expenses has a five-year compound annual growth rate of 25.8% (FY2018 to FY2023).
- By year, Other Operating Expenses came in at $7.59 million in FY2022 (+16.9%), $6.49 million in FY2021 (+59.7%), $4.07 million in FY2020 (+106.5%) and $1.97 million in FY2019 (+10.9%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses since Q3 2017.
- Year over year, Other Operating Expenses gained in four of the last five quarters, with growth averaging 87.3%.
- The high point for year-over-year Other Operating Expenses in five years was Q2 2026 (growth of 175.5%); the low point was Q4 2023 (a decline of 50.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Monopar Therapeutics | 630.69 Mn | 335.88 Mn | - |
Monopar Therapeutics Other 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=other-operating-expenses&ticker=MNPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MNPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();