Tenaya Therapeutics (TNYA) Total Non-Current Liabilities (2020 - 2026)
Tenaya Therapeutics' Total Non-Current Liabilities was $22.11 million in Q3 2026, up 1.4% from $21.81 million a year earlier but down 8.0% from the prior quarter.
Tenaya Therapeutics (TNYA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Tenaya Therapeutics came in at $23.25 million, down 13.3% from FY2024.
- Total Non-Current Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -36.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $26.81 million in FY2024 (-13.1%), $30.84 million in FY2023 (-12.7%), $35.34 million in FY2022 (-0.4%) and $35.48 million in FY2021 (-84.5%).
- Quarterly Total Non-Current Liabilities has moved between $21.81 million (Q3 2025) and $35.48 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 17.3%); the worst was Q2 2022 (a decline of 88.0%).
- Per Business Quant data, TNYA's Total Non-Current Liabilities in the three quarters before Q3 2026 was $24.03 million (Q2 2026), $28.46 million (Q1 2026) and $23.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Tenaya Therapeutics | 90.81 Mn | 24.01 Mn | - | 22.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.11 Mn |
| Jun 30, 2026 | 24.03 Mn |
| Mar 31, 2026 | 28.46 Mn |
| Dec 31, 2025 | 23.25 Mn |
| Sep 30, 2025 | 21.81 Mn |
| Jun 30, 2025 | 22.03 Mn |
| Mar 31, 2025 | 24.27 Mn |
| Dec 31, 2024 | 26.81 Mn |
| Sep 30, 2024 | 27.70 Mn |
| Jun 30, 2024 | 28.92 Mn |
| Mar 31, 2024 | 26.46 Mn |
| Dec 31, 2023 | 30.84 Mn |
| Sep 30, 2023 | 28.27 Mn |
| Jun 30, 2023 | 30.57 Mn |
| Mar 31, 2023 | 29.70 Mn |
| Dec 31, 2022 | 35.34 Mn |
| Sep 30, 2022 | 29.76 Mn |
| Jun 30, 2022 | 31.85 Mn |
| Mar 31, 2022 | 32.19 Mn |
| Dec 31, 2021 | 35.48 Mn |
Tenaya Therapeutics Total Non-Current 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-non-current-liabilities&ticker=TNYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TNYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();