Medicinova (MNOV) Total Non-Current Liabilities (2014 - 2026)
Medicinova (MNOV) posted Total Non-Current Liabilities of $3.16 million for Q2 2026, up 11.0% from $2.85 million a year earlier.
Powered by 
Analysis
Medicinova (MNOV) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Medicinova's Total Non-Current Liabilities came in at $4 million, up 26.5% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Medicinova's Total Non-Current Liabilities was $3.16 million in FY2024 (-9.2%), $3.48 million in FY2023 (+2.7%), $3.39 million in FY2022 (+11.7%) and $3.03 million in FY2021 (-25.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $2.34 million in Q1 2025 to a high of $4.73 million in Q3 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last seven quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2025, with growth of 26.5%; the weakest was Q3 2023, with a decline of 36.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Medicinova | 71.62 Mn | -44.53 Mn | - | 3.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.16 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 3.54 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 3.16 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 2.71 Mn |
| Dec 31, 2023 | 3.48 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 3.02 Mn |
| Mar 31, 2023 | 2.92 Mn |
| Dec 31, 2022 | 3.39 Mn |
| Sep 30, 2022 | 4.73 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 3.18 Mn |
| Dec 31, 2021 | 3.03 Mn |
| Sep 30, 2021 | 4.40 Mn |
| Jun 30, 2021 | 4.36 Mn |
API Access
Medicinova Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();