Century Therapeutics (IPSC) Non-Current Debt (2020 - 2022)
Century Therapeutics' Non-Current Debt came in at $3.74 million for Q4 2022, down 58.0% from $8.9 million a year earlier and down 39.1% from the prior quarter.
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Analysis
Century Therapeutics (IPSC) Non-Current Debt (2020 - 2022) Analysis & Trends
Going back to Q4 2020, Century Therapeutics' Non-Current Debt data covers 6 quarters.
- Going back by year, Non-Current Debt was $8.9 million in FY2021 (-7.6%) and $9.64 million in FY2020.
- Business Quant data shows IPSC's Non-Current Debt at $6.14 million (Q3 2022), $8.5 million (Q2 2022) and $10.02 million (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 35.80 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Century Therapeutics | 322.04 Mn | -182.34 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 3.74 Mn |
| Sep 30, 2022 | 6.14 Mn |
| Jun 30, 2022 | 8.50 Mn |
| Mar 31, 2022 | 10.02 Mn |
| Dec 31, 2021 | 8.90 Mn |
| Dec 31, 2020 | 9.64 Mn |
API Access
Century Therapeutics Non-Current Debt 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=IPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "IPSC", "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=IPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();