C4 Therapeutics (CCCC) Other Accumulated Expenses (2019 - 2022)
C4 Therapeutics (CCCC) posted Other Accumulated Expenses of $309,000 for Q1 2022, down 65.2% from $887,000 a year earlier and down 25.2% from the prior quarter.
C4 Therapeutics (CCCC) Other Accumulated Expenses (2019 - 2022) Analysis & Trends
At the end of FY2021, C4 Therapeutics' Other Accumulated Expenses came in at $413,000, down 11.9% from FY2020.
- In prior years, C4 Therapeutics' Other Accumulated Expenses was $469,000 in FY2020 (+67.5%) and $280,000 in FY2019.
- Quarterly Other Accumulated Expenses has run from a low of $164,000 in Q3 2020 to a high of $887,000 in Q1 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last four quarters, with growth averaging 3.2%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $413,000 (Q4 2021), $201,000 (Q3 2021) and $243,000 (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | C4 Therapeutics | 385.92 Mn | -543.83 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 309,000.00 |
| Dec 31, 2021 | 413,000.00 |
| Sep 30, 2021 | 201,000.00 |
| Jun 30, 2021 | 243,000.00 |
| Mar 31, 2021 | 887,000.00 |
| Dec 31, 2020 | 469,000.00 |
| Sep 30, 2020 | 164,000.00 |
| Dec 31, 2019 | 280,000.00 |
C4 Therapeutics Other 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=other-accumulated-expenses&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CCCC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();