Alumis (ALMS) Operating Expenses (2023 - 2026)
Alumis (ALMS) reported Operating Expenses of $150.52 million for Q2 2026, up 5.1% from $143.21 million a year earlier.
Alumis (ALMS) Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alumis' Operating Expenses came in at $509.45 million, up 11.0% year-over-year; for FY2025, it came in at $477.85 million, up 58.9% from FY2024.
- By year, Operating Expenses came in at $300.75 million in FY2024 (+90.1%) and $158.17 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2023.
- Year over year, Operating Expenses gained in six of the last seven quarters, with growth averaging 85.7%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 155.1%); the low point was Q4 2025 (a decline of 0.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.34 Bn | 1,100.93 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.91 Bn | 534.44 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 505.47 Bn | 478.59 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.18 Bn | 262.17 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.22 Bn | 191.62 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.14 Bn | 116.79 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Alumis | 874.10 Mn | -800.74 Mn | - | 150.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.52 Mn |
| Dec 31, 2025 | 98.37 Mn |
| Sep 30, 2025 | 117.36 Mn |
| Jun 30, 2025 | 143.21 Mn |
| Mar 31, 2025 | 118.92 Mn |
| Dec 31, 2024 | 98.62 Mn |
| Sep 30, 2024 | 98.40 Mn |
| Jun 30, 2024 | 56.14 Mn |
| Mar 31, 2024 | 47.59 Mn |
| Dec 31, 2023 | 40.13 Mn |
| Sep 30, 2023 | 43.76 Mn |
| Jun 30, 2023 | 37.62 Mn |
Alumis Operating Expenses 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=operating-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALMS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();