Big Digital Energy (BGDE) Exchange Rate Effect (2017 - 2023)
Big Digital Energy's (BGDE) quarterly Exchange Rate Effect came in at $7827.0 in Q4 2023, up 133.0% year-over-year from $3359.3 in Q4 2022, and up 229.76% quarter-over-quarter from -$6032.0 in Q3 2023.
Big Digital Energy (BGDE) Exchange Rate Effect (2017 - 2023) Analysis & Trends
Big Digital Energy has disclosed Exchange Rate Effect across 6 years of filings, most recently posting $7827.0 for Q4 2023.
- In Q4 2023, Exchange Rate Effect rose 133.0% year-over-year to $7827.0; the TTM figure through Dec 2023 stood at -$18600.0 (up 91.67% YoY), while the FY2023 annual figure was -$18600.0, up 91.67% from the prior year.
- Exchange Rate Effect came in at $7827.0 for Q4 2023 at Big Digital Energy, up from -$6032.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $2.3 million in Q3 2022 to a low of -$3.1 million in Q2 2022.
- Average Exchange Rate Effect over 4 years is -$3951.7, with a median of -$2187.5 recorded in 2020.
- Year-over-year, Exchange Rate Effect surged 37659.93% in 2021 and slumped 268.3% in 2022.
- Over 4 years, Exchange Rate Effect stood at $1657.0 in 2020, then surged by 37659.93% to $625682.0 in 2021, then tumbled by 103.79% to -$23721.0 in 2022, then jumped by 133.0% to $7827.0 in 2023.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $7827.0 in Q4 2023, -$6032.0 in Q3 2023, and -$11285.0 in Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | -5.00 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 | -10.74 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | - |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -3.65 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 |
|---|---|
| Dec 31, 2023 | 7,827.00 |
| Sep 30, 2023 | -6,032.00 |
| Jun 30, 2023 | -11,285.00 |
| Mar 31, 2023 | -9,110.00 |
| Dec 31, 2022 | -23,721.00 |
| Sep 30, 2022 | 2.28 Mn |
| Jun 30, 2022 | -3.13 Mn |
| Mar 31, 2022 | 648,104.00 |
| Dec 31, 2021 | 625,682.00 |
| Sep 30, 2021 | -483,720.00 |
| Jun 30, 2021 | -849,046.00 |
| Mar 31, 2021 | 501,045.00 |
| Dec 31, 2020 | 1,657.00 |
| Mar 31, 2020 | 391,034.00 |
| Jun 30, 2018 | -31,000.00 |
| Dec 31, 2017 | -1,000.00 |
| Sep 30, 2017 | -5,000.00 |
| Jun 30, 2017 | 13,000.00 |
| Mar 31, 2017 | 1,000.00 |
Big Digital Energy Exchange Rate Effect 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=exchange-rate-effect&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();