Tenaya Therapeutics (TNYA) Total Liabilities (2020 - 2026)
Tenaya Therapeutics' Total Liabilities came in at $22.16 million for Q3 2026, up 0.2% from $22.11 million a year earlier but down 8.2% from the prior quarter.
Tenaya Therapeutics (TNYA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Tenaya Therapeutics' Total Liabilities was $23.66 million, down 12.7% from FY2024.
- Total Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -36.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $27.09 million in FY2024 (-12.9%), $31.09 million in FY2023 (-12.6%), $35.57 million in FY2022 (-0.3%) and $35.66 million in FY2021 (-84.5%).
- The five-year range for quarterly Total Liabilities is $22.11 million (Q3 2025) to $35.66 million (Q4 2021).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 6.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 17.6%), and the weakest in Q2 2022 (a decline of 87.9%).
- Business Quant data shows TNYA's Total Liabilities at $24.13 million (Q2 2026), $28.88 million (Q1 2026) and $23.66 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Tenaya Therapeutics | 90.81 Mn | 24.01 Mn | - | 22.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.16 Mn |
| Jun 30, 2026 | 24.13 Mn |
| Mar 31, 2026 | 28.88 Mn |
| Dec 31, 2025 | 23.66 Mn |
| Sep 30, 2025 | 22.11 Mn |
| Jun 30, 2025 | 22.32 Mn |
| Mar 31, 2025 | 24.56 Mn |
| Dec 31, 2024 | 27.09 Mn |
| Sep 30, 2024 | 27.98 Mn |
| Jun 30, 2024 | 29.19 Mn |
| Mar 31, 2024 | 26.72 Mn |
| Dec 31, 2023 | 31.09 Mn |
| Sep 30, 2023 | 28.51 Mn |
| Jun 30, 2023 | 30.81 Mn |
| Mar 31, 2023 | 29.93 Mn |
| Dec 31, 2022 | 35.57 Mn |
| Sep 30, 2022 | 29.98 Mn |
| Jun 30, 2022 | 32.06 Mn |
| Mar 31, 2022 | 32.40 Mn |
| Dec 31, 2021 | 35.66 Mn |
Tenaya 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=TNYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TNYA", "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=TNYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();