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 | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | - |
| 10 | Celcuity | 3.32 Bn | 2.57 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();