Alumis (ALMS) Accumulated Expenses (2023 - 2026)
Alumis' Accumulated Expenses was $35.57 million in Q2 2026, down 18.7% from $43.73 million a year earlier.
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Analysis
Alumis (ALMS) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Alumis came in at $34.78 million, up 19.3% from FY2024.
- In earlier years, Accumulated Expenses was $29.15 million in FY2024 (+166.3%) and $10.95 million in FY2023.
- Quarterly Accumulated Expenses has moved between $10.95 million (Q4 2023) and $43.73 million (Q2 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last five quarters, with growth averaging 94.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Alumis | 796.45 Mn | -915.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.57 Mn |
| Mar 31, 2026 | 35.96 Mn |
| Dec 31, 2025 | 34.78 Mn |
| Sep 30, 2025 | 39.00 Mn |
| Jun 30, 2025 | 46.73 Mn |
| Mar 31, 2025 | 34.70 Mn |
| Dec 31, 2024 | 29.15 Mn |
| Sep 30, 2024 | 18.14 Mn |
| Jun 30, 2024 | 14.58 Mn |
| Mar 31, 2024 | 229,000.00 |
| Dec 31, 2023 | 10.95 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 2.28 Mn |
API Access
Alumis Accumulated 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=accumulated-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();