Alaunos Therapeutics (TCRT) Total Non-Current Liabilities (2009 - 2023)
Alaunos Therapeutics' Total Non-Current Liabilities came in at $1.96 million for Q4 2023, down 92.6% from $26.35 million a year earlier and down 64.7% from the prior quarter.
Alaunos Therapeutics (TCRT) Total Non-Current Liabilities (2009 - 2023) Analysis & Trends
Going back to Q4 2009, Alaunos Therapeutics' Total Non-Current Liabilities data covers 42 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -27.1% (FY2018 to FY2023).
- Going back by year, Total Non-Current Liabilities was $26.35 million in FY2022 (-28.4%) and $36.81 million in FY2021.
- The Q4 2023 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 71.7% over the last four quarters.
- Business Quant data shows TCRT's Total Non-Current Liabilities at $5.54 million (Q3 2023), $6.28 million (Q2 2023) and $19.1 million (Q1 2023) in the three quarters before Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Alaunos Therapeutics | 2.19 Mn | -1.61 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.96 Mn |
| Sep 30, 2023 | 5.54 Mn |
| Jun 30, 2023 | 6.28 Mn |
| Mar 31, 2023 | 19.10 Mn |
| Dec 31, 2022 | 26.35 Mn |
| Sep 30, 2022 | 35.20 Mn |
| Jun 30, 2022 | 33.72 Mn |
| Dec 31, 2021 | 36.81 Mn |
| Dec 31, 2018 | 9.48 Mn |
| Sep 30, 2018 | 220.62 Mn |
| Jun 30, 2018 | 213.26 Mn |
| Mar 31, 2018 | 208.14 Mn |
| Dec 31, 2017 | 199.99 Mn |
| Sep 30, 2017 | 194.00 Mn |
| Jun 30, 2017 | 188.61 Mn |
| Mar 31, 2017 | 186.93 Mn |
| Dec 31, 2016 | 182.78 Mn |
| Sep 30, 2016 | 180.84 Mn |
| Jun 30, 2016 | 60.96 Mn |
| Mar 31, 2016 | 63.30 Mn |
Alaunos Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TCRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TCRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=TCRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();