CervoMed (CRVO) Accumulated Expenses (2009 - 2026)
CervoMed (CRVO) recorded Accumulated Expenses of $2.35 million in Q2 2026, down 16.1% from $2.8 million a year earlier but up 5.4% from the prior quarter.
CervoMed (CRVO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, CervoMed reported Accumulated Expenses of $3.2 million, up 35.2% from FY2024.
- Across earlier years, Accumulated Expenses came in at $2.37 million in FY2024.
- Quarterly Accumulated Expenses has ranged from $2.22 million in Q1 2026 to $3.25 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $2.22 million (Q1 2026), $3.2 million (Q4 2025) and $3.25 million (Q3 2025).
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 | CervoMed | 20.73 Mn | -57.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.36 Mn |
| Jun 30, 2026 | 2.35 Mn |
| Mar 31, 2026 | 2.22 Mn |
| Dec 31, 2025 | 3.20 Mn |
| Sep 30, 2025 | 3.25 Mn |
| Jun 30, 2025 | 2.80 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Mar 31, 2018 | 38,771.00 |
| Dec 31, 2017 | 37,415.00 |
| Sep 30, 2017 | 36,029.00 |
| Jun 30, 2017 | 119,975.00 |
| Dec 31, 2016 | 29,359.00 |
| Sep 30, 2016 | 927.00 |
| Dec 31, 2015 | 14,009.00 |
| Sep 30, 2014 | 8,910.00 |
| Mar 31, 2014 | 410,046.00 |
| Dec 31, 2013 | 89,472.00 |
| Dec 31, 2009 | 1.82 Mn |
CervoMed 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=CRVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRVO", "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=CRVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();