Alto Neuroscience (ANRO) Accumulated Expenses (2022 - 2026)
Alto Neuroscience's Accumulated Expenses came in at $8.86 million for Q2 2026, up 37.2% from $6.46 million a year earlier and up 16.5% from the prior quarter.
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Analysis
Alto Neuroscience (ANRO) Accumulated Expenses (2022 - 2026) Analysis & Trends
Going back to Q4 2023, Alto Neuroscience's Accumulated Expenses data covers 11 quarters.
- Going back by year, Accumulated Expenses was $8.43 million in FY2024 (+85.8%) and $4.54 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 26.9% over the last seven quarters.
- Business Quant data shows ANRO's Accumulated Expenses at $7.61 million (Q1 2026), $8.86 million (Q4 2025) and $6.99 million (Q3 2025) in the three quarters before Q2 2026.
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 | Alto Neuroscience | 1.14 Bn | 139.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.85 Mn |
| Jun 30, 2026 | 8.86 Mn |
| Mar 31, 2026 | 7.61 Mn |
| Dec 31, 2025 | 8.86 Mn |
| Sep 30, 2025 | 6.99 Mn |
| Jun 30, 2025 | 6.46 Mn |
| Mar 31, 2025 | 5.87 Mn |
| Dec 31, 2024 | 8.43 Mn |
| Sep 30, 2024 | 8.23 Mn |
| Jun 30, 2024 | 5.68 Mn |
| Mar 31, 2024 | 4.45 Mn |
| Dec 31, 2023 | 4.54 Mn |
| Dec 31, 2022 | 3.95 Mn |
API Access
Alto Neuroscience 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=ANRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ANRO", "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=ANRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();