Alumis (ALMS) Cash & Equivalents (2023 - 2026)
Alumis (ALMS) recorded Cash & Equivalents of $63.71 million in Q2 2026, down 58.0% from $151.75 million a year earlier.
Analysis
Alumis (ALMS) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, Alumis reported Cash & Equivalents of $89.67 million, down 47.1% from FY2024.
- Across earlier years, Cash & Equivalents came in at $169.53 million in FY2024 (+268.6%) and $46 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q4 2023.
- On a year-over-year basis, Cash & Equivalents rose in three of the last seven quarters, with growth averaging 57.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 295.7% in Q3 2024, against a decline of 69.4% in Q3 2025 at the low end.
Peer Set
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 | Alumis | 852.45 Mn | -822.39 Mn | - | 63.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.71 Mn |
| Dec 31, 2025 | 89.67 Mn |
| Sep 30, 2025 | 65.26 Mn |
| Jun 30, 2025 | 151.75 Mn |
| Mar 31, 2025 | 128.54 Mn |
| Dec 31, 2024 | 169.53 Mn |
| Sep 30, 2024 | 213.42 Mn |
| Jun 30, 2024 | 155.11 Mn |
| Mar 31, 2024 | 112.07 Mn |
| Dec 31, 2023 | 46.00 Mn |
| Sep 30, 2023 | 53.94 Mn |
| Jun 30, 2023 | 79.56 Mn |
API Access
Alumis 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=ALMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();