Bionano Genomics (BNGO) Short term Debt (2017 - 2020)
Bionano Genomics (BNGO) reported Short term Debt of $14.24 million for Q3 2020, compared with $953,094 a year earlier and up 2.2% from the prior quarter.
Analysis
Bionano Genomics (BNGO) Short term Debt (2017 - 2020) Analysis & Trends
At the end of FY2019, Bionano Genomics posted Short term Debt of $20.08 million.
- By year, Short term Debt came in at $6.73 million in FY2017.
- Five-year quarterly Short term Debt spans a low of $799,815 in Q2 2019 and a high of $20.08 million in Q4 2019.
- Per Business Quant data, the three quarters before Q3 2020 came in at $13.94 million (Q2 2020), $16.97 million (Q1 2020) and $20.08 million (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bionano Genomics | 18.37 Mn | -46.87 Mn | 4.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 14.24 Mn |
| Jun 30, 2020 | 13.94 Mn |
| Mar 31, 2020 | 16.97 Mn |
| Dec 31, 2019 | 20.08 Mn |
| Sep 30, 2019 | 953,094.00 |
| Jun 30, 2019 | 799,815.00 |
| Dec 31, 2017 | 6.73 Mn |
API Access
Bionano Genomics Short term 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=short-term-debt&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "BNGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();