Alaunos Therapeutics (TCRT) Other Operating Expenses (2009 - 2023)
Alaunos Therapeutics (TCRT) recorded Other Operating Expenses of $3.74 million in Q4 2023, up 269.8% from the prior quarter.
Analysis
Alaunos Therapeutics (TCRT) Other Operating Expenses (2009 - 2023) Analysis & Trends
For FY2023, Alaunos Therapeutics reported Other Operating Expenses of $4.51 million.
- Across earlier years, Other Operating Expenses came in at -$133,000 in FY2022 and $740,000 in FY2021.
- The Q4 2023 figure is the highest quarterly Other Operating Expenses since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Alaunos Therapeutics | 2.19 Mn | -1.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.74 Mn |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | -245,000.00 |
| Jun 30, 2022 | -133,000.00 |
| Dec 31, 2021 | 740,000.00 |
| Dec 31, 2014 | 8.09 Mn |
| Dec 31, 2013 | -2,000.00 |
| Dec 31, 2010 | 3.04 Mn |
| Sep 30, 2010 | 5.71 Mn |
| Jun 30, 2010 | 2.22 Mn |
| Dec 31, 2009 | 1.22 Mn |
| Sep 30, 2009 | 1.23 Mn |
API Access
Alaunos Therapeutics Other Operating Expenses 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=other-operating-expenses&ticker=TCRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TCRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();