Alaunos Therapeutics (TCRT) Operating Expenses (2009 - 2026)
Alaunos Therapeutics (TCRT) posted Operating Expenses of $952,000 for Q2 2026, down 8.4% from $1.04 million a year earlier and down 5.9% from the prior quarter.
Alaunos Therapeutics (TCRT) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Alaunos Therapeutics was $4.06 million, up 0.5% year-over-year; for FY2025, it was $4.23 million, down 12.3% from FY2024.
- Annual Operating Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -44.5% (FY2020 to FY2025).
- In prior years, Alaunos Therapeutics' Operating Expenses was $4.82 million in FY2024 (-85.9%), $34.27 million in FY2023 (-9.9%), $38.03 million in FY2022 (-51.2%) and $77.95 million in FY2021 (-3.0%).
- Quarterly Operating Expenses has run from a low of $759,000 in Q4 2024 to a high of $22.69 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 27.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 19.9%; the weakest was Q4 2024, with a decline of 90.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.01 million (Q1 2026), $910,000 (Q4 2025) and $1.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Alaunos Therapeutics | 2.19 Mn | -1.61 Mn | - | 952,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 952,000.00 |
| Mar 31, 2026 | 1.01 Mn |
| Dec 31, 2025 | 910,000.00 |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 759,000.00 |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.17 Mn |
| Mar 31, 2024 | 1.74 Mn |
| Dec 31, 2023 | 7.95 Mn |
| Sep 30, 2023 | 8.66 Mn |
| Jun 30, 2023 | 7.99 Mn |
| Mar 31, 2023 | 9.67 Mn |
| Dec 31, 2022 | 8.53 Mn |
| Sep 30, 2022 | 11.18 Mn |
| Jun 30, 2022 | 9.23 Mn |
| Mar 31, 2022 | 9.09 Mn |
| Dec 31, 2021 | 11.05 Mn |
| Sep 30, 2021 | 22.69 Mn |
Alaunos Therapeutics 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=operating-expenses&ticker=TCRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=TCRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();