Alumis (ALMS) Non-Current Assets (2023 - 2026)
Alumis' Non-Current Assets came in at $46.53 million for Q2 2026, down 50.2% from $93.37 million a year earlier.
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Analysis
Alumis (ALMS) Non-Current Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Alumis' Non-Current Assets was $93.71 million, up 169.2% from FY2024.
- Going back by year, Non-Current Assets was $34.8 million in FY2024 (-4.0%) and $36.26 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q1 2025.
- Year-over-year, Non-Current Assets increased in three of the last five quarters, with growth averaging 83.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Alumis | 858.78 Mn | -816.06 Mn | - | 46.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.53 Mn |
| Dec 31, 2025 | 93.71 Mn |
| Sep 30, 2025 | 94.72 Mn |
| Jun 30, 2025 | 93.37 Mn |
| Mar 31, 2025 | 35.77 Mn |
| Dec 31, 2024 | 34.80 Mn |
| Sep 30, 2024 | 35.21 Mn |
| Jun 30, 2024 | 40.32 Mn |
| Dec 31, 2023 | 36.26 Mn |
API Access
Alumis Non-Current Assets 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=non-current-assets&ticker=ALMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();