Cartesian Therapeutics (RNAC) Net Long-Term Debt Issued (Repaid) (2015 - 2023)
Cartesian Therapeutics' Net Long-Term Debt Issued (Repaid) came in at -$27.46 million for FY2023.
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Analysis
Cartesian Therapeutics (RNAC) Net Long-Term Debt Issued (Repaid) (2015 - 2023) Analysis & Trends
Going back to FY2015, Cartesian Therapeutics' Net Long-Term Debt Issued (Repaid) data covers 5 years.
- The FY2023 figure represents the highest annual Net Long-Term Debt Issued (Repaid) in data going back to FY2015.
- Per Business Quant, earlier years put Net Long-Term Debt Issued (Repaid) at $5.42 million in FY2020 and -$2.8 million in FY2019.
Peer Set
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 | Cartesian Therapeutics | 210.06 Mn | -304.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -24.87 Mn |
| Dec 31, 2020 | -102,000.00 |
| Sep 30, 2020 | -15.11 Mn |
| Jun 30, 2020 | -2.10 Mn |
| Mar 31, 2020 | -2.10 Mn |
| Dec 31, 2019 | -2.10 Mn |
| Sep 30, 2019 | -700,000.00 |
| Dec 31, 2017 | -21.00 Mn |
| Sep 30, 2017 | -11.10 Mn |
| Jun 30, 2017 | -1.11 Mn |
| Mar 31, 2017 | -728,000.00 |
| Dec 31, 2015 | -717,000.00 |
| Sep 30, 2015 | -703,000.00 |
API Access
Cartesian 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=RNAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "RNAC", "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=RNAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();