Crescent Biopharma (CBIO) Accumulated Expenses (2013 - 2026)
Crescent Biopharma (CBIO) posted Accumulated Expenses of $7.41 million for Q2 2026, down 2.6% from $7.61 million a year earlier but up 67.1% from the prior quarter.
Crescent Biopharma (CBIO) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Crescent Biopharma's Accumulated Expenses came in at $16.34 million, up 634.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, Crescent Biopharma's Accumulated Expenses was $2.23 million in FY2024 (-57.4%), $5.23 million in FY2023 (-25.3%), $6.99 million in FY2022 (-19.8%) and $8.72 million in FY2021 (-7.7%).
- Quarterly Accumulated Expenses has run from a low of $2.23 million in Q4 2024 to a high of $16.34 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 112.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2025, with growth of 634.6%; the weakest was Q4 2024, with a decline of 57.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.43 million (Q1 2026), $16.34 million (Q4 2025) and $8.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Crescent Biopharma | 404.96 Mn | -302.33 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.41 Mn |
| Mar 31, 2026 | 4.43 Mn |
| Dec 31, 2025 | 16.34 Mn |
| Sep 30, 2025 | 8.97 Mn |
| Jun 30, 2025 | 7.61 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 2.23 Mn |
| Sep 30, 2024 | 3.48 Mn |
| Jun 30, 2024 | 2.96 Mn |
| Mar 31, 2024 | 3.91 Mn |
| Dec 31, 2023 | 5.23 Mn |
| Sep 30, 2023 | 5.31 Mn |
| Jun 30, 2023 | 5.51 Mn |
| Mar 31, 2023 | 5.61 Mn |
| Dec 31, 2022 | 6.99 Mn |
| Sep 30, 2022 | 5.81 Mn |
| Jun 30, 2022 | 6.61 Mn |
| Mar 31, 2022 | 9.48 Mn |
| Dec 31, 2021 | 8.72 Mn |
| Sep 30, 2021 | 7.30 Mn |
Crescent Biopharma 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=CBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CBIO", "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=CBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();