Alx Oncology Holdings (ALXO) Cash & Equivalents (2019 - 2026)
Alx Oncology Holdings' Cash & Equivalents came in at $22.69 million for Q2 2026, up 17.5% from $19.3 million a year earlier but down 29.7% from the prior quarter.
Alx Oncology Holdings (ALXO) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Alx Oncology Holdings' Cash & Equivalents was $16.37 million, down 6.8% from FY2024.
- Cash & Equivalents has declined in each of the last five years, with a five-year compound annual growth rate of -48.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $17.57 million in FY2024 (-21.6%), $22.41 million in FY2023 (-54.1%), $48.82 million in FY2022 (-86.6%) and $363.67 million in FY2021 (-16.2%).
- The five-year range for quarterly Cash & Equivalents is $14.04 million (Q1 2024) to $385.15 million (Q3 2021).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 18.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2026 (growth of 56.6%), and the weakest in Q3 2022 (a decline of 87.3%).
- Business Quant data shows ALXO's Cash & Equivalents at $32.28 million (Q1 2026), $16.37 million (Q4 2025) and $23.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Alx Oncology Holdings | 168.62 Mn | 168.62 Mn | - | 22.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.69 Mn |
| Mar 31, 2026 | 32.28 Mn |
| Dec 31, 2025 | 16.37 Mn |
| Sep 30, 2025 | 23.44 Mn |
| Jun 30, 2025 | 19.30 Mn |
| Mar 31, 2025 | 20.61 Mn |
| Dec 31, 2024 | 17.57 Mn |
| Sep 30, 2024 | 16.10 Mn |
| Jun 30, 2024 | 15.53 Mn |
| Mar 31, 2024 | 14.04 Mn |
| Dec 31, 2023 | 22.41 Mn |
| Sep 30, 2023 | 19.58 Mn |
| Jun 30, 2023 | 38.04 Mn |
| Mar 31, 2023 | 63.19 Mn |
| Dec 31, 2022 | 48.82 Mn |
| Sep 30, 2022 | 49.05 Mn |
| Jun 30, 2022 | 66.38 Mn |
| Mar 31, 2022 | 159.09 Mn |
| Dec 31, 2021 | 363.67 Mn |
| Sep 30, 2021 | 385.15 Mn |
Alx Oncology Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=ALXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();