Big Digital Energy (BGDE) Cash & Equivalents (2011 - 2026)
Big Digital Energy (BGDE) posted Cash & Equivalents of $16.3 million for Q2 2026, up 403.1% from $3.24 million a year earlier and up 568.1% from the prior quarter.
Big Digital Energy (BGDE) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Big Digital Energy's Cash & Equivalents came in at $13.27 million, up 117.9% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 64.2% (FY2020 to FY2025).
- In prior years, Big Digital Energy's Cash & Equivalents was $6.09 million in FY2024 (+36.0%), $4.48 million in FY2023 (+373.1%), $946,265 in FY2022 (-82.7%) and $5.47 million in FY2021 (+391.3%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2021.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 82.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 403.1%; the weakest was Q3 2022, with a decline of 96.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.44 million (Q1 2026), $13.27 million (Q4 2025) and $2.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,870.06 Bn | 3,793.22 Bn | 60.48 Bn | 20.94 Bn |
| 2 | International Business Machines | 237.60 Bn | 188.50 Bn | 9.91 Bn | 7.17 Bn |
| 3 | Cloudflare | 97.89 Bn | 81.42 Bn | 499.52 Mn | 1.66 Bn |
| 4 | Equinix | 94.00 Bn | 82.55 Bn | 1.40 Bn | 979.00 Mn |
| 5 | Nebius | 40.27 Bn | 13.71 Bn | 448.70 Mn | 8.04 Bn |
| 6 | CoreWeave | 30.64 Bn | 17.73 Bn | 1.70 Bn | 5.52 Bn |
| 7 | Verisign | 27.35 Bn | 24.71 Bn | 393.20 Mn | 206.80 Mn |
| 8 | Nutanix | 18.82 Bn | 10.50 Bn | 651.35 Mn | 777.31 Mn |
| 9 | GoDaddy | 14.55 Bn | 10.13 Bn | 828.20 Mn | 1.16 Bn |
| 10 | Big Digital Energy | 23.50 Mn | -10.79 Mn | 1.61 Mn | 16.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.30 Mn |
| Mar 31, 2026 | 2.44 Mn |
| Dec 31, 2025 | 13.27 Mn |
| Sep 30, 2025 | 2.28 Mn |
| Jun 30, 2025 | 3.24 Mn |
| Mar 31, 2025 | 5.47 Mn |
| Dec 31, 2024 | 6.09 Mn |
| Sep 30, 2024 | 5.76 Mn |
| Jun 30, 2024 | 6.78 Mn |
| Mar 31, 2024 | 6.37 Mn |
| Dec 31, 2023 | 4.48 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 5.61 Mn |
| Mar 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 946,265.00 |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 5.80 Mn |
| Dec 31, 2021 | 5.47 Mn |
| Sep 30, 2021 | 32.38 Mn |
Big Digital Energy Cash & Equivalents 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=cash-and-equivalents&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();