Medicinova (MNOV) Accumulated Depreciation (2011 - 2025)
Medicinova (MNOV) recorded Accumulated Depreciation of $422,809 in Q4 2025, up 5.0% from $402,734 a year earlier.
Analysis
Medicinova (MNOV) Accumulated Depreciation (2011 - 2025) Analysis & Trends
Starting with Q4 2011, Medicinova's Accumulated Depreciation history includes 15 quarters.
- Annual Accumulated Depreciation has a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Depreciation came in at $402,734 in FY2024 (-9.2%), $443,513 in FY2023 (+2.5%), $432,800 in FY2022 (+1.8%) and $425,203 in FY2021 (-18.8%).
- The Q4 2025 figure is the highest quarterly Accumulated Depreciation since Q4 2023.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 422,809.00 |
| Dec 31, 2024 | 402,734.00 |
| Dec 31, 2023 | 443,513.00 |
| Dec 31, 2022 | 432,800.00 |
| Dec 31, 2021 | 425,203.00 |
| Dec 31, 2020 | 523,617.00 |
| Dec 31, 2019 | 497,859.00 |
| Dec 31, 2018 | 483,528.00 |
| Dec 31, 2017 | 471,715.00 |
| Dec 31, 2016 | 499,400.00 |
| Dec 31, 2015 | 483,242.00 |
| Dec 31, 2014 | 461,948.00 |
| Dec 31, 2013 | 431,193.00 |
| Dec 31, 2012 | 672,301.00 |
| Dec 31, 2011 | 925,935.00 |
API Access
Medicinova Accumulated Depreciation 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=accumulated-depreciation&ticker=MNOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();