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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Minerva Neurosciences | 114.63 Mn | -133.29 Mn | - | 15.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.70 Mn |
| Mar 31, 2026 | 9.44 Mn |
| Dec 31, 2025 | 7.25 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 |
API Access
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_KEYimport 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();