Big Digital Energy (BGDE) Notes Payables (2011 - 2022)
Big Digital Energy's (BGDE) quarterly Notes Payables came in at $15.3 million in Q4 2022, up 38.15% year-over-year from $11.1 million in Q4 2021, and down 51.17% quarter-over-quarter from $31.4 million in Q3 2022.
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Analysis
Big Digital Energy (BGDE) Notes Payables (2011 - 2022) Analysis & Trends
Big Digital Energy has disclosed Notes Payables across 10 years of filings, most recently posting $15.3 million for Q4 2022.
- In Q4 2022, Notes Payables rose 38.15% year-over-year to $15.3 million; the TTM figure through Dec 2022 stood at $15.3 million (up 38.15% YoY), while the FY2022 annual figure was $15.3 million, up 38.15% from the prior year.
- Notes Payables came in at $15.3 million for Q4 2022 at Big Digital Energy, down from $31.4 million in the prior quarter.
- In the past five years, Notes Payables ranged from a high of $31.4 million in Q3 2022 to a low of $290978.0 in Q4 2020.
- Average Notes Payables over 3 years is $10.7 million, with a median of $11.1 million recorded in 2021.
- The largest YoY upside for Notes Payables was 6592.22% in 2022 against a maximum downside of 38.15% in 2022.
- Over 3 years, Notes Payables stood at $290978.0 in 2020, then soared by 3713.14% to $11.1 million in 2021, then jumped by 38.15% to $15.3 million in 2022.
- Per Business Quant data, the three most recent Notes Payables figures were $15.3 million in Q4 2022, $31.4 million in Q3 2022, and $19.5 million in Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn |
| 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 |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 15.33 Mn |
| Sep 30, 2022 | 31.39 Mn |
| Jun 30, 2022 | 19.47 Mn |
| Mar 31, 2022 | 16.04 Mn |
| Dec 31, 2021 | 11.10 Mn |
| Sep 30, 2021 | 469,082.00 |
| Jun 30, 2021 | 991,524.00 |
| Mar 31, 2021 | 1.28 Mn |
| Dec 31, 2020 | 290,978.00 |
| Sep 30, 2017 | 4.94 Mn |
| Jun 30, 2017 | 4.76 Mn |
| Mar 31, 2017 | 4.57 Mn |
| Dec 31, 2016 | 34,000.00 |
| Sep 30, 2016 | 4.19 Mn |
| Jun 30, 2016 | 4.08 Mn |
| Mar 31, 2016 | 3.91 Mn |
| Dec 31, 2015 | 110,000.00 |
| Sep 30, 2015 | 3.30 Mn |
| Jun 30, 2015 | 2.99 Mn |
| Mar 31, 2015 | 2.70 Mn |
API Access
Big Digital Energy Notes Payables 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=notes-payables&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();