Hepion Pharmaceuticals (HEPA) Total Non-Current Liabilities (2013 - 2026)
Hepion Pharmaceuticals' Total Non-Current Liabilities came in at -$6.05 million for Q2 2026, compared with $592,854 a year earlier.
Analysis
Hepion Pharmaceuticals (HEPA) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Hepion Pharmaceuticals' Total Non-Current Liabilities was $299,383, down 90.5% from FY2024.
- Total Non-Current Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -44.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $3.14 million in FY2024 (-41.6%), $5.38 million in FY2023 (-35.1%), $8.29 million in FY2022 (-4.3%) and $8.67 million in FY2021 (+56.3%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 86.7%), and the weakest in Q4 2025 (a decline of 90.5%).
- Business Quant data shows HEPA's Total Non-Current Liabilities at $735,572 (Q1 2026), $299,383 (Q4 2025) and $347,411 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Hepion Pharmaceuticals | 1.62 Mn | -6.76 Mn | - | -6.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.05 Mn |
| Mar 31, 2026 | 735,572.00 |
| Dec 31, 2025 | 299,383.00 |
| Sep 30, 2025 | 347,411.00 |
| Jun 30, 2025 | 592,854.00 |
| Mar 31, 2025 | 935,924.00 |
| Dec 31, 2024 | 3.14 Mn |
| Sep 30, 2024 | 1.90 Mn |
| Jun 30, 2024 | 2.45 Mn |
| Mar 31, 2024 | 2.62 Mn |
| Dec 31, 2023 | 5.38 Mn |
| Sep 30, 2023 | 6.94 Mn |
| Jun 30, 2023 | 8.08 Mn |
| Mar 31, 2023 | 10.21 Mn |
| Dec 31, 2022 | 8.29 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | 13.79 Mn |
| Mar 31, 2022 | 6.67 Mn |
| Dec 31, 2021 | 8.67 Mn |
| Sep 30, 2021 | 7.59 Mn |
API Access
Hepion Pharmaceuticals 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=HEPA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HEPA", "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=HEPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();