Big Digital Energy (BGDE) Interest Expenses (2012 - 2026)
Big Digital Energy (BGDE) posted Interest Expenses of $1.01 million for Q2 2026, up 22.3% from $827,336 a year earlier and up 7.0% from the prior quarter.
Big Digital Energy (BGDE) Interest Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Big Digital Energy was $3.71 million, up 15.2% year-over-year; for FY2025, it was $3.37 million, up 8.7% from FY2024.
- Annual Interest Expenses shows a four-year compound annual growth rate of 19.6% (FY2021 to FY2025).
- In prior years, Big Digital Energy's Interest Expenses was $3.1 million in FY2024 (+1.6%), $3.05 million in FY2023 (-49.7%), $6.06 million in FY2022 (+268.9%) and $1.64 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Interest Expenses since Q4 2022.
- On a year-over-year basis, Interest Expenses has increased in each of the last six quarters, with growth averaging 14.4% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2022, with growth of 393.4%; the weakest was Q3 2023, with a decline of 67.0%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $945,630 (Q1 2026), $886,236 (Q4 2025) and $868,082 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 870.00 Mn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 491.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 163.00 Mn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 3.55 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -119.10 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 21.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | - |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 37.70 Mn |
| 10 | Big Digital Energy | 17.67 Mn | -16.62 Mn | 1.61 Mn | 1.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Mar 31, 2026 | 945,630.00 |
| Dec 31, 2025 | 886,236.00 |
| Sep 30, 2025 | 868,082.00 |
| Jun 30, 2025 | 827,336.00 |
| Mar 31, 2025 | 784,865.00 |
| Dec 31, 2024 | 808,490.00 |
| Sep 30, 2024 | 801,625.00 |
| Jun 30, 2024 | 752,945.00 |
| Mar 31, 2024 | 734,580.00 |
| Dec 31, 2023 | 987,703.00 |
| Sep 30, 2023 | 514,953.00 |
| Jun 30, 2023 | 647,062.00 |
| Mar 31, 2023 | 835,107.00 |
| Dec 31, 2022 | 1.70 Mn |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.24 Mn |
| Dec 31, 2021 | 566,125.00 |
| Sep 30, 2021 | 362,900.00 |
Big Digital Energy Interest Expenses 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=interest-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();