Tectonic Therapeutic (TECX) Total Non-Current Liabilities (2017 - 2022)
Tectonic Therapeutic's Total Non-Current Liabilities came in at $149.6 million for Q4 2022, up 335.8% from $34.33 million a year earlier and up 376.5% from the prior quarter.
Tectonic Therapeutic (TECX) Total Non-Current Liabilities (2017 - 2022) Analysis & Trends
Going back to Q4 2017, Tectonic Therapeutic's Total Non-Current Liabilities data covers 20 quarters.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 38.2% (FY2017 to FY2022).
- Going back by year, Total Non-Current Liabilities was $34.33 million in FY2021 (+106.6%), $16.61 million in FY2020 (+18.5%), $14.02 million in FY2019 (+32.2%) and $10.61 million in FY2018 (-64.2%).
- The Q4 2022 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 87.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 335.8%), and the weakest in Q4 2018 (a decline of 64.2%).
- Business Quant data shows TECX's Total Non-Current Liabilities at $31.4 million (Q3 2022), $27.89 million (Q2 2022) and $32.15 million (Q1 2022) in the three quarters before Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Tectonic Therapeutic | 452.22 Mn | 452.22 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 149.60 Mn |
| Sep 30, 2022 | 31.40 Mn |
| Jun 30, 2022 | 27.89 Mn |
| Mar 31, 2022 | 32.15 Mn |
| Dec 31, 2021 | 34.33 Mn |
| Sep 30, 2021 | 22.79 Mn |
| Jun 30, 2021 | 16.95 Mn |
| Mar 31, 2021 | 12.77 Mn |
| Dec 31, 2020 | 16.61 Mn |
| Sep 30, 2020 | 25.05 Mn |
| Jun 30, 2020 | 15.41 Mn |
| Mar 31, 2020 | 12.77 Mn |
| Dec 31, 2019 | 14.02 Mn |
| Sep 30, 2019 | 9.91 Mn |
| Jun 30, 2019 | 8.77 Mn |
| Mar 31, 2019 | 9.94 Mn |
| Dec 31, 2018 | 10.61 Mn |
| Sep 30, 2018 | 5.43 Mn |
| Jun 30, 2018 | 9.63 Mn |
| Dec 31, 2017 | 29.66 Mn |
Tectonic Therapeutic 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=TECX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TECX", "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=TECX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();