Big Digital Energy (BGDE) Convertible Debt (2017 - 2019)
Big Digital Energy (BGDE) posted Convertible Debt of $274,000 for Q4 2019, down 89.4% from $2.59 million a year earlier and unchanged from the prior quarter.
Analysis
Big Digital Energy (BGDE) Convertible Debt (2017 - 2019) Analysis & Trends
Since Q4 2017, Big Digital Energy has reported Convertible Debt for 9 quarters.
- In prior years, Big Digital Energy's Convertible Debt was $2.59 million in FY2018 (+1.8%) and $2.54 million in FY2017.
- Quarterly Convertible Debt has run from a low of $274,000 in Q1 2018 to a high of $2.59 million in Q4 2018 over five years.
- On a year-over-year basis, Convertible Debt increased in 1 of the last five quarters, with an average decline of 17.5%.
- According to Business Quant data, Convertible Debt for the three prior quarters was $274,000 (Q3 2019), $274,000 (Q2 2019) and $274,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn |
| 10 | Big Digital Energy | 24.97 Mn | -9.31 Mn | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 274,000.00 |
| Sep 30, 2019 | 274,000.00 |
| Jun 30, 2019 | 274,000.00 |
| Mar 31, 2019 | 274,000.00 |
| Dec 31, 2018 | 2.59 Mn |
| Sep 30, 2018 | 274,000.00 |
| Jun 30, 2018 | 274,000.00 |
| Mar 31, 2018 | 274,000.00 |
| Dec 31, 2017 | 2.54 Mn |
API Access
Big Digital Energy Convertible 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=convertible-debt&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "BGDE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();