C4 Therapeutics (CCCC) Net Long-Term Debt Issued (Repaid) (2020 - 2023)
C4 Therapeutics' Non-Current Debt came in at $8.62 million for Q1 2023, down 15.4% from $10.19 million a year earlier and down 6.2% from the prior quarter.
C4 Therapeutics (CCCC) Net Long-Term Debt Issued (Repaid) (2020 - 2023) Analysis & Trends
At the end of FY2022, C4 Therapeutics' Non-Current Debt was $9.2 million, down 14.6% from FY2021.
- Going back by year, Non-Current Debt was $10.77 million in FY2021 (+7.1%) and $10.05 million in FY2020.
- The Q1 2023 figure represents the lowest quarterly Non-Current Debt in data going back to Q3 2020.
- Year-over-year, Non-Current Debt has declined for five consecutive quarters, with an average decline of 4.4% over the last seven quarters.
- Business Quant data shows CCCC's Non-Current Debt at $9.2 million (Q4 2022), $9.05 million (Q3 2022) and $10.37 million (Q2 2022) in the three quarters before Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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 | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 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 | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | C4 Therapeutics | 393.93 Mn | -549.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -11.00 Mn |
| Jun 30, 2023 | -750,000.00 |
| Mar 31, 2023 | -750,000.00 |
| Dec 31, 2020 | 11.96 Bn |
| Sep 30, 2020 | -11.96 Bn |
C4 Therapeutics Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();