Medicinova (MNOV) Other Operating Expenses (2011 - 2026)
Medicinova's Other Operating Expenses came in at $140,680 for Q2 2026, up 20.9% from $116,349 a year earlier.
Medicinova (MNOV) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Medicinova reported Other Operating Expenses of $519,286, up 346.3% year-over-year; for FY2025, it was $378,606.
- The five-year range for quarterly Other Operating Expenses is $115,272 (Q3 2025) to $146,985 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Medicinova | 82.20 Mn | 82.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140,680.00 |
| Dec 31, 2025 | 146,985.00 |
| Sep 30, 2025 | 115,272.00 |
| Jun 30, 2025 | 116,349.00 |
| Dec 31, 2018 | -249.00 |
| Sep 30, 2018 | 286.00 |
| Dec 31, 2017 | -1,046.00 |
| Sep 30, 2017 | 464.00 |
| Jun 30, 2017 | 12.00 |
| Mar 31, 2017 | 478.00 |
| Dec 31, 2016 | -1.44 Mn |
| Sep 30, 2016 | -2.84 Mn |
| Jun 30, 2016 | -3.20 Mn |
| Mar 31, 2016 | -3.39 Mn |
| Dec 31, 2015 | -2.73 Mn |
| Sep 30, 2015 | -1.59 Mn |
| Jun 30, 2015 | -2.27 Mn |
| Mar 31, 2015 | -2.21 Mn |
| Dec 31, 2014 | -2.38 Mn |
| Sep 30, 2014 | -2.34 Mn |
Medicinova 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=MNOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MNOV", "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=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();