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 | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Alumis | 830.27 Mn | -881.19 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();