DBV Technologies (DBVT) Non-Current Debt (2015 - 2020)
DBV Technologies' Non-Current Debt came in at $5,000 for Q4 2022, compared with -$171,000 a year earlier.
Analysis
DBV Technologies (DBVT) Non-Current Debt (2015 - 2020) Analysis & Trends
For FY2022, DBV Technologies' Non-Current Debt was -$474,000.
- Going back by year, Non-Current Debt was -$689,000 in FY2021, -$303,000 in FY2020 and -$1.32 million in FY2019.
- The Q4 2022 figure represents the highest quarterly Non-Current Debt since Q2 2020.
- Business Quant data shows DBVT's Non-Current Debt at -$151,000 (Q3 2022), -$160,000 (Q2 2022) and -$168,000 (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 60.50 Bn |
| 10 | DBV Technologies | 836.72 Mn | 168.59 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 822,170.48 |
| Dec 31, 2019 | 807,685.63 |
| Jun 30, 2019 | 1.14 Mn |
| Dec 31, 2018 | 1.46 Mn |
| Dec 31, 2017 | 2.18 Mn |
| Dec 31, 2016 | 4.28 Mn |
| Dec 31, 2015 | 5.13 Mn |
API Access
DBV Technologies Non-Current 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=non-current-debt&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();