Entrada Therapeutics (TRDA) Cash & Equivalents (2020 - 2026)
Entrada Therapeutics (TRDA) posted Cash & Equivalents of $99.28 million for Q2 2026, up 37.0% from $72.48 million a year earlier and up 29.9% from the prior quarter.
Entrada Therapeutics (TRDA) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Entrada Therapeutics' Cash & Equivalents came in at $90.39 million, down 10.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior years, Entrada Therapeutics' Cash & Equivalents was $101.21 million in FY2024 (+49.7%), $67.6 million in FY2023 (+49.7%), $45.16 million in FY2022 (-84.5%) and $291.06 million in FY2021 (+645.5%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q4 2024.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 12.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 645.5%; the weakest was Q4 2022, with a decline of 84.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $76.44 million (Q1 2026), $90.39 million (Q4 2025) and $93.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Entrada Therapeutics | 247.25 Mn | 247.25 Mn | - | 99.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.28 Mn |
| Mar 31, 2026 | 76.44 Mn |
| Dec 31, 2025 | 90.39 Mn |
| Sep 30, 2025 | 93.29 Mn |
| Jun 30, 2025 | 72.48 Mn |
| Mar 31, 2025 | 67.84 Mn |
| Dec 31, 2024 | 101.21 Mn |
| Sep 30, 2024 | 78.05 Mn |
| Jun 30, 2024 | 185.25 Mn |
| Mar 31, 2024 | 68.44 Mn |
| Dec 31, 2023 | 67.60 Mn |
| Sep 30, 2023 | 51.88 Mn |
| Jun 30, 2023 | 79.74 Mn |
| Mar 31, 2023 | 227.65 Mn |
| Dec 31, 2022 | 45.16 Mn |
| Sep 30, 2022 | 53.31 Mn |
| Jun 30, 2022 | 90.87 Mn |
| Mar 31, 2022 | 84.64 Mn |
| Dec 31, 2021 | 291.06 Mn |
| Sep 30, 2021 | 122.20 Mn |
Entrada Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=TRDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TRDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();