Alx Oncology Holdings (ALXO) Non-Current Assets (2019 - 2026)
Alx Oncology Holdings' Non-Current Assets came in at $17.36 million for Q2 2026, up 72.5% from $10.06 million a year earlier but down 47.0% from the prior quarter.
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Analysis
Alx Oncology Holdings (ALXO) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Alx Oncology Holdings' Non-Current Assets was $8.32 million, down 38.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 166.4% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $13.42 million in FY2024 (-75.1%), $53.89 million in FY2023 (+51.7%), $35.52 million in FY2022 (+169.8%) and $13.16 million in FY2021.
- The five-year range for quarterly Non-Current Assets is $8.32 million (Q4 2025) to $53.89 million (Q4 2023).
- Year-over-year, Non-Current Assets increased in three of the last eight quarters, with an average decline of 12.9%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2022 (growth of 223.7%), and the weakest in Q2 2025 (a decline of 78.1%).
- Business Quant data shows ALXO's Non-Current Assets at $32.76 million (Q1 2026), $8.32 million (Q4 2025) and $16.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Alx Oncology Holdings | 192.12 Mn | 192.12 Mn | - | 17.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.36 Mn |
| Mar 31, 2026 | 32.76 Mn |
| Dec 31, 2025 | 8.32 Mn |
| Sep 30, 2025 | 16.21 Mn |
| Jun 30, 2025 | 10.06 Mn |
| Mar 31, 2025 | 18.37 Mn |
| Dec 31, 2024 | 13.42 Mn |
| Sep 30, 2024 | 29.82 Mn |
| Jun 30, 2024 | 45.91 Mn |
| Mar 31, 2024 | 44.79 Mn |
| Dec 31, 2023 | 53.89 Mn |
| Sep 30, 2023 | 21.04 Mn |
| Jun 30, 2023 | 26.37 Mn |
| Mar 31, 2023 | 45.60 Mn |
| Dec 31, 2022 | 35.52 Mn |
| Sep 30, 2022 | 26.88 Mn |
| Jun 30, 2022 | 29.17 Mn |
| Mar 31, 2022 | 42.15 Mn |
| Dec 31, 2021 | 13.16 Mn |
| Sep 30, 2021 | 10.77 Mn |
API Access
Alx Oncology Holdings Non-Current Assets 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-assets&ticker=ALXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ALXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();