Tvardi Therapeutics (TVRD) Total Non-Current Liabilities (2013 - 2018)
Tvardi Therapeutics' Total Non-Current Liabilities was $55.63 million in Q4 2018, up 554.0% from $8.51 million a year earlier but down 9.6% from the prior quarter.
Tvardi Therapeutics (TVRD) Total Non-Current Liabilities (2013 - 2018) Analysis & Trends
From Q4 2013 onward, Tvardi Therapeutics has reported Total Non-Current Liabilities for 21 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.8% (FY2013 to FY2018).
- In earlier years, Total Non-Current Liabilities was $8.51 million in FY2017 (-26.2%), $11.53 million in FY2016 (+118.9%), $5.27 million in FY2015 (+55.0%) and $3.4 million in FY2014 (-95.2%).
- Quarterly Total Non-Current Liabilities has moved between $3.24 million (Q2 2015) and $65.12 million (Q2 2018) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 266.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2018 (growth of 805.7%); the worst was Q4 2014 (a decline of 95.2%).
- Per Business Quant data, TVRD's Total Non-Current Liabilities in the three quarters before Q4 2018 was $61.55 million (Q3 2018), $65.12 million (Q2 2018) and $6.88 million (Q1 2018).
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 | Tvardi Therapeutics | 12.01 Mn | 12.01 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 55.63 Mn |
| Sep 30, 2018 | 61.55 Mn |
| Jun 30, 2018 | 65.12 Mn |
| Mar 31, 2018 | 6.88 Mn |
| Dec 31, 2017 | 8.51 Mn |
| Sep 30, 2017 | 7.27 Mn |
| Jun 30, 2017 | 7.19 Mn |
| Mar 31, 2017 | 12.51 Mn |
| Dec 31, 2016 | 11.53 Mn |
| Sep 30, 2016 | 6.83 Mn |
| Jun 30, 2016 | 8.17 Mn |
| Mar 31, 2016 | 6.09 Mn |
| Dec 31, 2015 | 5.27 Mn |
| Sep 30, 2015 | 3.37 Mn |
| Jun 30, 2015 | 3.24 Mn |
| Mar 31, 2015 | 3.43 Mn |
| Dec 31, 2014 | 3.40 Mn |
| Sep 30, 2014 | 6.09 Mn |
| Jun 30, 2014 | 5.62 Mn |
| Mar 31, 2014 | 5.75 Mn |
Tvardi 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=TVRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TVRD", "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=TVRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();