Minerva Neurosciences (NERV) Total Current Liabilities (2013 - 2026)
Minerva Neurosciences' Total Current Liabilities was $3.96 million in Q2 2026, up 56.5% from $2.53 million a year earlier but down 11.7% from the prior quarter.
Minerva Neurosciences (NERV) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Minerva Neurosciences came in at $2.29 million, down 19.3% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $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 (-10.8%).
- Quarterly Total Current Liabilities has moved between $1.38 million (Q4 2022) and $4.48 million (Q3 2024) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in three of the last eight quarters, with growth averaging 9.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2023 (growth of 142.5%); the worst was Q4 2022 (a decline of 51.1%).
- Per Business Quant data, NERV's Total Current Liabilities in the three quarters before Q2 2026 was $4.48 million (Q1 2026), $2.29 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Minerva Neurosciences | 114.63 Mn | -133.29 Mn | - | 3.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.96 Mn |
| Mar 31, 2026 | 4.48 Mn |
| Dec 31, 2025 | 2.29 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 | 3.08 Mn |
Minerva Neurosciences Total 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-current-liabilities&ticker=NERV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();