Medicinova (MNOV) Other Accumulated Expenses (2012 - 2025)
Medicinova's Other Accumulated Expenses came in at $146,540 for Q4 2025, up 15.5% from $126,832 a year earlier.
Analysis
Medicinova (MNOV) Other Accumulated Expenses (2012 - 2025) Analysis & Trends
Going back to Q4 2012, Medicinova's Other Accumulated Expenses data covers 16 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $126,832 in FY2024 (-22.8%), $164,375 in FY2023 (-10.7%), $184,100 in FY2022 (-66.4%) and $547,270 in FY2021 (+441.6%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Medicinova | 87.61 Mn | 87.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 146,540.00 |
| Dec 31, 2024 | 126,832.00 |
| Dec 31, 2023 | 164,375.00 |
| Dec 31, 2022 | 184,100.00 |
| Dec 31, 2021 | 547,270.00 |
| Dec 31, 2020 | 101,043.00 |
| Dec 31, 2019 | 354,707.00 |
| Dec 31, 2018 | 191,932.00 |
| Dec 31, 2017 | 141,504.00 |
| Dec 31, 2016 | 145,600.00 |
| Dec 31, 2015 | 158,559.00 |
| Dec 31, 2014 | 127,643.00 |
| Dec 31, 2013 | 102,094.00 |
| Sep 30, 2013 | 171,031.00 |
| Jun 30, 2013 | 169,372.00 |
| Dec 31, 2012 | 94,504.00 |
API Access
Medicinova Other Accumulated 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-accumulated-expenses&ticker=MNOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();