DBV Technologies (DBVT) Total Debt (2015 - 2020)
DBV Technologies (DBVT) posted Total Debt of $805,167 for Q2 2020, down 28.6% from $1.13 million a year earlier.
Analysis
DBV Technologies (DBVT) Total Debt (2015 - 2020) Analysis & Trends
At the end of FY2019, DBV Technologies' Total Debt came in at $798,066, down 47.1% from FY2018.
- Annual Total Debt has declined for four consecutive years, with a four-year compound annual growth rate of -37.4% (FY2015 to FY2019).
- In prior years, DBV Technologies' Total Debt was $1.51 million in FY2018 (-26.7%), $2.06 million in FY2017 (-54.0%), $4.48 million in FY2016 (-14.0%) and $5.21 million in FY2015.
- Quarterly Total Debt has run from a low of $798,066 in Q4 2019 to a high of $5.14 million in Q4 2015 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | DBV Technologies | 5.05 Bn | 4.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 805,167.35 |
| Dec 31, 2019 | 798,066.01 |
| Jun 30, 2019 | 1.13 Mn |
| Dec 31, 2018 | 1.46 Mn |
| Dec 31, 2017 | 2.15 Mn |
| Dec 31, 2016 | 4.37 Mn |
| Dec 31, 2015 | 5.14 Mn |
API Access
DBV Technologies Total Debt 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-debt&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "DBVT", "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-debt&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();