DBV Technologies (DBVT) Non Operating Interest Expenses (2015 - 2019)
DBV Technologies' Non Operating Interest Expenses was $414,647 in FY2018, down 89.0% from $3.76 million in FY2017.
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Analysis
DBV Technologies (DBVT) Non Operating Interest Expenses (2015 - 2019) Analysis & Trends
From FY2015 onward, DBV Technologies has reported Non Operating Interest Expenses for 4 years.
- Non Operating Interest Expenses shows a three-year compound annual growth rate of 36.7% (FY2015 to FY2018).
- Annual Non Operating Interest Expenses has moved between $17,713 (FY2016) and $3.76 million (FY2017) over five years.
- Per Business Quant data, Non Operating Interest Expenses in earlier years was $3.76 million in FY2017, $17,713 in FY2016 (-89.1%) and $162,175 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | DBV Technologies | 1.04 Bn | 274.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -615,429.55 |
| Sep 30, 2019 | -2.02 Mn |
| Dec 31, 2018 | 899,420.38 |
| Sep 30, 2018 | -927,013.95 |
| Jun 30, 2017 | -2.08 Mn |
| Jun 30, 2016 | -42,935.25 |
| Jun 30, 2015 | -92,831.87 |
API Access
DBV Technologies Non Operating Interest Expenses 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-operating-interest-expenses&ticker=DBVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();