Entrada Therapeutics (TRDA) Operating Expenses (2020 - 2026)
Entrada Therapeutics (TRDA) posted Operating Expenses of $45.86 million for Q2 2026, down 6.0% from $48.8 million a year earlier but up 6.2% from the prior quarter.
Entrada Therapeutics (TRDA) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Entrada Therapeutics was $181.21 million, up 3.2% year-over-year; for FY2025, it came in at $183.32 million, up 11.9% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 47.0% (FY2020 to FY2025).
- In prior years, Entrada Therapeutics' Operating Expenses was $163.77 million in FY2024 (+23.9%), $132.18 million in FY2023 (+35.9%), $97.25 million in FY2022 (+90.2%) and $51.13 million in FY2021 (+91.7%).
- Quarterly Operating Expenses has run from a low of $14.36 million in Q3 2021 to a high of $48.8 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 12.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 163.9%; the weakest was Q2 2026, with a decline of 6.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $43.18 million (Q1 2026), $43.51 million (Q4 2025) and $48.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Entrada Therapeutics | 242.19 Mn | 242.19 Mn | - | 45.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.86 Mn |
| Mar 31, 2026 | 43.18 Mn |
| Dec 31, 2025 | 43.51 Mn |
| Sep 30, 2025 | 48.67 Mn |
| Jun 30, 2025 | 48.80 Mn |
| Mar 31, 2025 | 42.35 Mn |
| Dec 31, 2024 | 43.27 Mn |
| Sep 30, 2024 | 41.23 Mn |
| Jun 30, 2024 | 41.27 Mn |
| Mar 31, 2024 | 38.01 Mn |
| Dec 31, 2023 | 36.94 Mn |
| Sep 30, 2023 | 29.72 Mn |
| Jun 30, 2023 | 34.47 Mn |
| Mar 31, 2023 | 31.04 Mn |
| Dec 31, 2022 | 25.58 Mn |
| Sep 30, 2022 | 25.94 Mn |
| Jun 30, 2022 | 23.58 Mn |
| Mar 31, 2022 | 22.15 Mn |
| Dec 31, 2021 | 18.46 Mn |
| Sep 30, 2021 | 14.36 Mn |
Entrada 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=TRDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRDA", "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=TRDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();