Aptevo Therapeutics (APVO) Total Liabilities (2015 - 2026)
Aptevo Therapeutics' Total Liabilities came in at $8.48 million for Q2 2026, down 6.8% from $9.1 million a year earlier but up 2.3% from the prior quarter.
Aptevo Therapeutics (APVO) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Aptevo Therapeutics' Total Liabilities was $9.81 million, down 9.4% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -23.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $10.84 million in FY2024 (-14.1%), $12.62 million in FY2023 (-22.3%), $16.24 million in FY2022 (-70.7%) and $55.39 million in FY2021 (+49.9%).
- The five-year range for quarterly Total Liabilities is $8.29 million (Q1 2026) to $56.71 million (Q3 2021).
- Year-over-year, Total Liabilities has declined for 18 consecutive quarters, with an average decline of 12.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 61.0%), and the weakest in Q1 2023 (a decline of 77.1%).
- Business Quant data shows APVO's Total Liabilities at $8.29 million (Q1 2026), $9.81 million (Q4 2025) and $9.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Aptevo Therapeutics | 2.71 Mn | -64.29 Mn | - | 8.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.48 Mn |
| Mar 31, 2026 | 8.29 Mn |
| Dec 31, 2025 | 9.81 Mn |
| Sep 30, 2025 | 9.60 Mn |
| Jun 30, 2025 | 9.10 Mn |
| Mar 31, 2025 | 9.82 Mn |
| Dec 31, 2024 | 10.84 Mn |
| Sep 30, 2024 | 10.73 Mn |
| Jun 30, 2024 | 10.46 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Dec 31, 2023 | 12.62 Mn |
| Sep 30, 2023 | 12.41 Mn |
| Jun 30, 2023 | 12.66 Mn |
| Mar 31, 2023 | 11.71 Mn |
| Dec 31, 2022 | 16.24 Mn |
| Sep 30, 2022 | 15.93 Mn |
| Jun 30, 2022 | 15.75 Mn |
| Mar 31, 2022 | 51.07 Mn |
| Dec 31, 2021 | 55.39 Mn |
| Sep 30, 2021 | 56.71 Mn |
Aptevo Therapeutics Total 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-liabilities&ticker=APVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "APVO", "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-liabilities&ticker=APVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();