Alx Oncology Holdings (ALXO) Research & Development (2019 - 2026)
Alx Oncology Holdings' Research & Development came in at $13.14 million for Q2 2026, down 27.1% from $18.02 million a year earlier and down 3.4% from the prior quarter.
Alx Oncology Holdings (ALXO) Research & Development (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alx Oncology Holdings reported Research & Development of $61.83 million, down 32.7% year-over-year; for FY2025, it came in at $77 million, down 33.8% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- Going back by year, Research & Development was $116.37 million in FY2024 (-17.9%), $141.8 million in FY2023 (+44.1%), $98.4 million in FY2022 (+63.5%) and $60.17 million in FY2021 (+107.8%).
- The Q2 2026 figure represents the lowest quarterly Research & Development since Q2 2021.
- Year-over-year, Research & Development has declined for eight consecutive quarters, with an average decline of 36.0% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2021 (growth of 241.9%), and the weakest in Q2 2025 (a decline of 48.0%).
- Business Quant data shows ALXO's Research & Development at $13.61 million (Q1 2026), $17.65 million (Q4 2025) and $17.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Alx Oncology Holdings | 186.59 Mn | 186.59 Mn | - | 13.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.14 Mn |
| Mar 31, 2026 | 13.61 Mn |
| Dec 31, 2025 | 17.65 Mn |
| Sep 30, 2025 | 17.44 Mn |
| Jun 30, 2025 | 18.02 Mn |
| Mar 31, 2025 | 23.89 Mn |
| Dec 31, 2024 | 23.53 Mn |
| Sep 30, 2024 | 26.47 Mn |
| Jun 30, 2024 | 34.65 Mn |
| Mar 31, 2024 | 31.72 Mn |
| Dec 31, 2023 | 41.78 Mn |
| Sep 30, 2023 | 45.77 Mn |
| Jun 30, 2023 | 29.48 Mn |
| Mar 31, 2023 | 24.76 Mn |
| Dec 31, 2022 | 25.20 Mn |
| Sep 30, 2022 | 29.38 Mn |
| Jun 30, 2022 | 26.75 Mn |
| Mar 31, 2022 | 17.07 Mn |
| Dec 31, 2021 | 20.89 Mn |
| Sep 30, 2021 | 18.21 Mn |
Alx Oncology Holdings Research & Development 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=research-and-development&ticker=ALXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ALXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();