Minerva Neurosciences (NERV) Total Non-Current Liabilities (2014 - 2026)
Minerva Neurosciences (NERV) reported Total Non-Current Liabilities of $75.7 million for Q2 2026, compared with $2.53 million a year earlier and up 9.0% from the prior quarter.
Minerva Neurosciences (NERV) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Minerva Neurosciences posted Total Non-Current Liabilities of $67.25 million.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 121.0% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.84 million in FY2024 (-15.1%), $3.34 million in FY2023 (+142.5%), $1.38 million in FY2022 (-51.1%) and $2.82 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Year over year, Total Non-Current Liabilities gained in 1 of the last five quarters, with an average decline of 18.5%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 142.5%); the low point was Q3 2022 (a decline of 55.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.44 million (Q1 2026), $67.25 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Minerva Neurosciences | 158.21 Mn | 158.21 Mn | - | 75.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.70 Mn |
| Mar 31, 2026 | 69.44 Mn |
| Dec 31, 2025 | 67.25 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 4.48 Mn |
| Jun 30, 2024 | 4.20 Mn |
| Mar 31, 2024 | 2.83 Mn |
| Dec 31, 2023 | 3.34 Mn |
| Sep 30, 2023 | 3.35 Mn |
| Jun 30, 2023 | 1.91 Mn |
| Mar 31, 2023 | 2.50 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | 2.20 Mn |
| Jun 30, 2022 | 3.41 Mn |
| Mar 31, 2022 | 3.25 Mn |
| Dec 31, 2021 | 2.82 Mn |
| Sep 30, 2021 | 4.89 Mn |
Minerva Neurosciences 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=NERV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NERV", "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=NERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();