Abeona Therapeutics (ABEO) Total Non-Current Liabilities (2014 - 2026)
Abeona Therapeutics (ABEO) posted Total Non-Current Liabilities of $30.74 million for Q2 2026, down 41.4% from $52.5 million a year earlier and down 23.2% from the prior quarter.
Abeona Therapeutics (ABEO) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Abeona Therapeutics' Total Non-Current Liabilities came in at $41.45 million, up 26.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a four-year compound annual growth rate of 10.1% (FY2021 to FY2025).
- In prior years, Abeona Therapeutics' Total Non-Current Liabilities was $32.89 million in FY2024 (+84.5%), $17.82 million in FY2023 (+0.2%), $17.8 million in FY2022 (-36.9%) and $28.21 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 30.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2024, with growth of 112.9%; the weakest was Q1 2023, with a decline of 42.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $40.04 million (Q1 2026), $41.45 million (Q4 2025) and $37.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Abeona Therapeutics | 251.30 Mn | -462.66 Mn | 7.20 Mn | 30.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.74 Mn |
| Mar 31, 2026 | 40.04 Mn |
| Dec 31, 2025 | 41.45 Mn |
| Sep 30, 2025 | 37.30 Mn |
| Jun 30, 2025 | 52.50 Mn |
| Mar 31, 2025 | 33.20 Mn |
| Dec 31, 2024 | 32.89 Mn |
| Sep 30, 2024 | 31.11 Mn |
| Jun 30, 2024 | 31.19 Mn |
| Mar 31, 2024 | 34.01 Mn |
| Dec 31, 2023 | 17.82 Mn |
| Sep 30, 2023 | 16.93 Mn |
| Jun 30, 2023 | 18.18 Mn |
| Mar 31, 2023 | 17.21 Mn |
| Dec 31, 2022 | 17.80 Mn |
| Sep 30, 2022 | 22.10 Mn |
| Jun 30, 2022 | 26.48 Mn |
| Mar 31, 2022 | 29.87 Mn |
| Dec 31, 2021 | 28.21 Mn |
| Sep 30, 2021 | 30.92 Mn |
Abeona 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=ABEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ABEO", "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=ABEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();