Celcuity (CELC) Long-Term Debt Repayments (2018 - 2023)
Celcuity (CELC) recorded Long-Term Debt Repayments of $2,449 in FY2023, down 58.1% from $5,850 in FY2022.
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Analysis
Celcuity (CELC) Long-Term Debt Repayments (2018 - 2023) Analysis & Trends
- Per Business Quant data, CELC's Long-Term Debt Repayments was $5,850 in FY2022 (+0.7%) and $5,810 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | - |
| 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 | Celcuity | 3.29 Bn | 2.65 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 980.00 |
| Mar 31, 2023 | 1,469.00 |
| Dec 31, 2022 | 1,466.00 |
| Sep 30, 2022 | 1,464.00 |
| Jun 30, 2022 | 1,462.00 |
| Mar 31, 2022 | 1,458.00 |
| Dec 31, 2021 | 1,457.00 |
| Sep 30, 2021 | 1,453.00 |
| Jun 30, 2021 | 1,451.00 |
| Mar 31, 2021 | 1,449.00 |
| Dec 31, 2020 | 1,446.00 |
| Sep 30, 2020 | 1,443.00 |
| Jun 30, 2020 | 1,442.00 |
| Mar 31, 2020 | 1,438.00 |
| Dec 31, 2019 | -1,437.00 |
| Sep 30, 2019 | -1,433.00 |
| Jun 30, 2019 | -4,288.00 |
| Mar 31, 2019 | 1,428.00 |
| Dec 31, 2018 | 1,427.00 |
| Sep 30, 2018 | 1,897.00 |
API Access
Celcuity Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CELC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CELC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=CELC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();