Alx Oncology Holdings (ALXO) Total Liabilities (2019 - 2026)
Alx Oncology Holdings (ALXO) posted Total Liabilities of $24.63 million for Q2 2026, down 20.3% from $30.91 million a year earlier and down 8.7% from the prior quarter.
Alx Oncology Holdings (ALXO) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Alx Oncology Holdings' Total Liabilities came in at $33.07 million, down 3.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- In prior years, Alx Oncology Holdings' Total Liabilities was $34.16 million in FY2024 (-35.4%), $52.84 million in FY2023 (+22.8%), $43.03 million in FY2022 (+151.1%) and $17.13 million in FY2021 (+176.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last eight quarters, with an average decline of 22.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 176.0%; the weakest was Q2 2025, with a decline of 44.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $26.98 million (Q1 2026), $33.07 million (Q4 2025) and $37.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Alx Oncology Holdings | 186.59 Mn | 186.59 Mn | - | 24.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.63 Mn |
| Mar 31, 2026 | 26.98 Mn |
| Dec 31, 2025 | 33.07 Mn |
| Sep 30, 2025 | 37.92 Mn |
| Jun 30, 2025 | 30.91 Mn |
| Mar 31, 2025 | 32.61 Mn |
| Dec 31, 2024 | 34.16 Mn |
| Sep 30, 2024 | 48.91 Mn |
| Jun 30, 2024 | 55.30 Mn |
| Mar 31, 2024 | 48.46 Mn |
| Dec 31, 2023 | 52.84 Mn |
| Sep 30, 2023 | 51.36 Mn |
| Jun 30, 2023 | 33.24 Mn |
| Mar 31, 2023 | 37.75 Mn |
| Dec 31, 2022 | 43.03 Mn |
| Sep 30, 2022 | 30.73 Mn |
| Jun 30, 2022 | 29.70 Mn |
| Mar 31, 2022 | 20.08 Mn |
| Dec 31, 2021 | 17.13 Mn |
| Sep 30, 2021 | 14.56 Mn |
Alx Oncology Holdings 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=ALXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ALXO", "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=ALXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();