Entrada Therapeutics (TRDA) Total Liabilities (2020 - 2026)
Entrada Therapeutics (TRDA) reported Total Liabilities of $65.47 million for Q2 2026, down 5.5% from $69.28 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Entrada Therapeutics (TRDA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Entrada Therapeutics posted Total Liabilities of $71.25 million, down 27.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $97.64 million in FY2024 (-57.0%), $226.83 million in FY2023 (+474.2%), $39.5 million in FY2022 (+455.2%) and $7.12 million in FY2021 (-91.6%).
- Five-year quarterly Total Liabilities spans a low of $7.12 million in Q4 2021 and a high of $287.08 million in Q2 2023.
- Year over year, Total Liabilities has now declined in each of the last ten quarters, with an average decline of 39.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2023 (growth of 619.9%); the low point was Q4 2021 (a decline of 91.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.66 million (Q1 2026), $71.25 million (Q4 2025) and $72.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Entrada Therapeutics | 242.19 Mn | 242.19 Mn | - | 65.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.47 Mn |
| Mar 31, 2026 | 64.66 Mn |
| Dec 31, 2025 | 71.25 Mn |
| Sep 30, 2025 | 72.18 Mn |
| Jun 30, 2025 | 69.28 Mn |
| Mar 31, 2025 | 69.22 Mn |
| Dec 31, 2024 | 97.64 Mn |
| Sep 30, 2024 | 132.14 Mn |
| Jun 30, 2024 | 152.04 Mn |
| Mar 31, 2024 | 241.48 Mn |
| Dec 31, 2023 | 226.83 Mn |
| Sep 30, 2023 | 238.37 Mn |
| Jun 30, 2023 | 287.08 Mn |
| Mar 31, 2023 | 245.96 Mn |
| Dec 31, 2022 | 39.50 Mn |
| Sep 30, 2022 | 41.24 Mn |
| Jun 30, 2022 | 39.88 Mn |
| Mar 31, 2022 | 39.31 Mn |
| Dec 31, 2021 | 7.12 Mn |
| Sep 30, 2021 | 204.99 Mn |
API Access
Entrada Therapeutics Total 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-liabilities&ticker=TRDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TRDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();