Tyra Biosciences (TYRA) Total Non-Current Liabilities (2020 - 2025)
Tyra Biosciences' Total Non-Current Liabilities came in at $23.43 million for Q4 2025, up 14.8% from $20.4 million a year earlier and up 9.8% from the prior quarter.
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Analysis
Tyra Biosciences (TYRA) Total Non-Current Liabilities (2020 - 2025) Analysis & Trends
Going back to Q4 2020, Tyra Biosciences' Total Non-Current Liabilities data covers 19 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $20.4 million in FY2024 (-5.3%), $21.55 million in FY2023 (+163.3%), $8.18 million in FY2022 (+78.0%) and $4.6 million in FY2021 (-84.4%).
- The Q4 2025 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 34.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 163.3%), and the weakest in Q4 2021 (a decline of 84.4%).
- Business Quant data shows TYRA's Total Non-Current Liabilities at $21.34 million (Q3 2025), $19.35 million (Q2 2025) and $19.94 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Tyra Biosciences | 1.31 Bn | 1.31 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.43 Mn |
| Sep 30, 2025 | 21.34 Mn |
| Jun 30, 2025 | 19.35 Mn |
| Mar 31, 2025 | 19.94 Mn |
| Dec 31, 2024 | 20.40 Mn |
| Sep 30, 2024 | 18.29 Mn |
| Jun 30, 2024 | 16.40 Mn |
| Mar 31, 2024 | 14.83 Mn |
| Dec 31, 2023 | 21.55 Mn |
| Sep 30, 2023 | 16.11 Mn |
| Jun 30, 2023 | 11.33 Mn |
| Mar 31, 2023 | 6.13 Mn |
| Dec 31, 2022 | 8.18 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 7.48 Mn |
| Dec 31, 2021 | 4.60 Mn |
| Sep 30, 2021 | 5.81 Mn |
| Dec 31, 2020 | 29.51 Mn |
API Access
Tyra Biosciences 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=TYRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TYRA", "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=TYRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();