Avalo Therapeutics (AVTX) Total Non-Current Liabilities (2015 - 2026)
Avalo Therapeutics (AVTX) reported Total Non-Current Liabilities of $23.59 million for Q2 2026, up 100.8% from $11.75 million a year earlier and up 68.0% from the prior quarter.
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Analysis
Avalo Therapeutics (AVTX) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Avalo Therapeutics posted Total Non-Current Liabilities of $15.41 million, up 67.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $9.22 million in FY2024 (+13.3%), $8.14 million in FY2023 (-79.4%), $39.45 million in FY2022 (-28.1%) and $54.83 million in FY2021 (+216.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 70.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 581.2%); the low point was Q1 2025 (a decline of 96.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.05 million (Q1 2026), $15.41 million (Q4 2025) and $10.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Avalo Therapeutics | 679.32 Mn | 679.32 Mn | - | 23.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.59 Mn |
| Mar 31, 2026 | 14.05 Mn |
| Dec 31, 2025 | 15.41 Mn |
| Sep 30, 2025 | 10.39 Mn |
| Jun 30, 2025 | 11.75 Mn |
| Mar 31, 2025 | 8.17 Mn |
| Dec 31, 2024 | 9.22 Mn |
| Sep 30, 2024 | 65.57 Mn |
| Jun 30, 2024 | 111.21 Mn |
| Mar 31, 2024 | 230.60 Mn |
| Dec 31, 2023 | 8.14 Mn |
| Sep 30, 2023 | 9.63 Mn |
| Jun 30, 2023 | 26.15 Mn |
| Mar 31, 2023 | 37.49 Mn |
| Dec 31, 2022 | 39.45 Mn |
| Sep 30, 2022 | 36.78 Mn |
| Jun 30, 2022 | 36.24 Mn |
| Mar 31, 2022 | 53.20 Mn |
| Dec 31, 2021 | 54.83 Mn |
| Sep 30, 2021 | 53.65 Mn |
API Access
Avalo 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=AVTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AVTX", "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=AVTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();