Ernexa Therapeutics (ERNA) Total Non-Current Liabilities (2010 - 2026)
Ernexa Therapeutics' Total Non-Current Liabilities was $3.11 million in Q2 2026, up 2.9% from $3.03 million a year earlier but down 15.4% from the prior quarter.
Ernexa Therapeutics (ERNA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ernexa Therapeutics came in at $3.39 million, down 1.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.46 million in FY2024 (-92.6%), $46.78 million in FY2023 (+375.4%), $9.84 million in FY2022 (+64.7%) and $5.97 million in FY2021 (+14.4%).
- Quarterly Total Non-Current Liabilities has moved between -$11.5 million (Q3 2021) and $54.93 million (Q2 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 54.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2024 (growth of 659.8%); the worst was Q2 2025 (a decline of 94.5%).
- Per Business Quant data, ERNA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.68 million (Q1 2026), $3.39 million (Q4 2025) and $2.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ernexa Therapeutics | 3.74 Mn | 3.74 Mn | - | 3.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.11 Mn |
| Mar 31, 2026 | 3.68 Mn |
| Dec 31, 2025 | 3.39 Mn |
| Sep 30, 2025 | 2.49 Mn |
| Jun 30, 2025 | 3.03 Mn |
| Mar 31, 2025 | 10.90 Mn |
| Dec 31, 2024 | 3.46 Mn |
| Sep 30, 2024 | 42.65 Mn |
| Jun 30, 2024 | 54.93 Mn |
| Mar 31, 2024 | 52.88 Mn |
| Dec 31, 2023 | 46.78 Mn |
| Sep 30, 2023 | 48.52 Mn |
| Jun 30, 2023 | 42.90 Mn |
| Mar 31, 2023 | 6.96 Mn |
| Dec 31, 2022 | 9.84 Mn |
| Sep 30, 2022 | 10.42 Mn |
| Jun 30, 2022 | 9.60 Mn |
| Mar 31, 2022 | 4.75 Mn |
| Dec 31, 2021 | 5.97 Mn |
| Sep 30, 2021 | -11.50 Mn |
Ernexa Therapeutics 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=ERNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ERNA", "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=ERNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();