Big Digital Energy (BGDE) Research & Development (2011 - 2020)
Big Digital Energy's (BGDE) quarterly Research & Development came in at $212000.0 in Q3 2020, down 7.83% year-over-year from $230000.0 in Q4 2019, and up 5200.0% quarter-over-quarter from $4000.0 in Q2 2020.
Big Digital Energy (BGDE) Research & Development (2011 - 2020) Analysis & Trends
Big Digital Energy has disclosed Research & Development across 10 years of filings, most recently posting $212000.0 for Q3 2020.
- In Q3 2020, Research & Development fell 7.83% year-over-year to $212000.0; the TTM figure through Sep 2020 stood at $622000.0 (changed 0.32% YoY), while the FY2018 annual figure was $694000.0, up 54.22% from the prior year.
- Research & Development came in at $212000.0 for Q3 2020 at Big Digital Energy, up from $4000.0 in the prior quarter.
- In the past five years, Research & Development ranged from a high of $230000.0 in Q3 2019 to a low of $4000.0 in Q2 2020.
- Average Research & Development over 5 years is $123722.2, with a median of $103500.0 recorded in 2017.
- Year-over-year, Research & Development jumped 256.67% in 2017 and slumped 97.47% in 2020.
- Over 5 years, Research & Development stood at $82000.0 in 2016, then surged by 97.56% to $162000.0 in 2017, then gained by 6.79% to $173000.0 in 2018, then soared by 32.95% to $230000.0 in 2019, then retreated by 7.83% to $212000.0 in 2020.
- Per Business Quant data, the three most recent Research & Development figures were $212000.0 in Q3 2020, $4000.0 in Q2 2020, and $176000.0 in Q1 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 239.00 Mn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | - |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | - |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | - |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | -1.04 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | - |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -11.08 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | - |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | - |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 212,000.00 |
| Jun 30, 2020 | 4,000.00 |
| Mar 31, 2020 | 176,000.00 |
| Sep 30, 2019 | 230,000.00 |
| Jun 30, 2019 | 158,000.00 |
| Mar 31, 2019 | 63,000.00 |
| Dec 31, 2018 | 173,000.00 |
| Sep 30, 2018 | 222,000.00 |
| Jun 30, 2018 | 89,000.00 |
| Mar 31, 2018 | 210,000.00 |
| Dec 31, 2017 | 162,000.00 |
| Sep 30, 2017 | 107,000.00 |
| Jun 30, 2017 | 100,000.00 |
| Mar 31, 2017 | 81,000.00 |
| Dec 31, 2016 | 82,000.00 |
| Sep 30, 2016 | 30,000.00 |
| Jun 30, 2016 | 43,000.00 |
| Mar 31, 2016 | 85,000.00 |
| Dec 31, 2015 | 651,000.00 |
| Sep 30, 2015 | 247,000.00 |
Big Digital Energy Research & Development 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=research-and-development&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();