Elicio Therapeutics (ELTX) Net Long-Term Debt Issued (Repaid) (2020 - 2025)
Elicio Therapeutics' Non-Current Debt came in at $9.54 million for Q2 2026, up 2.1% from $9.34 million a year earlier and up 0.6% from the prior quarter.
Elicio Therapeutics (ELTX) Net Long-Term Debt Issued (Repaid) (2020 - 2025) Analysis & Trends
At the end of FY2025, Elicio Therapeutics' Non-Current Debt was $9.41 million, down 53.0% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of 71.4% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $20.03 million in FY2024.
- The five-year range for quarterly Non-Current Debt is $9.34 million (Q2 2025) to $20.03 million (Q4 2024).
- Business Quant data shows ELTX's Non-Current Debt at $9.48 million (Q1 2026), $9.41 million (Q4 2025) and $9.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Elicio Therapeutics | 45.57 Mn | -42.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 9.87 Mn |
| Mar 31, 2025 | 9.14 Mn |
| Sep 30, 2024 | 19.73 Mn |
| Mar 31, 2023 | 9.99 Mn |
| Dec 31, 2022 | -15,000.00 |
| Sep 30, 2022 | -14,000.00 |
| Jun 30, 2022 | -15,000.00 |
| Mar 31, 2022 | -14,000.00 |
| Dec 31, 2021 | 293,000.00 |
| Sep 30, 2020 | 17.29 Mn |
| Jun 30, 2020 | 11.78 Mn |
| Mar 31, 2020 | 3.05 Mn |
Elicio Therapeutics Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=ELTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "ELTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=ELTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();