Big Digital Energy (BGDE) Long-Term Debt Repayments (2021 - 2026)
Big Digital Energy (BGDE) posted Long-Term Debt Repayments of $111,345 for Q2 2026, up 7.8% from $103,293 a year earlier and up 61.7% from the prior quarter.
Big Digital Energy (BGDE) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Big Digital Energy was $418,046, up 102.4% year-over-year; for FY2025, it came in at $444,426, down 11.1% from FY2024.
- Annual Long-Term Debt Repayments has declined for three consecutive years, though with a five-year compound annual growth rate of 133.2% (FY2020 to FY2025).
- In prior years, Big Digital Energy's Long-Term Debt Repayments was $500,000 in FY2024 (-96.0%), $12.46 million in FY2023 (-55.5%), $28 million in FY2022 and $230,962 in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of -$1.13 million in Q4 2021 to a high of $15.31 million in Q4 2022 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2023, with growth of 666.2%; the weakest was Q1 2024, with a decline of 90.7%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $68,863 (Q1 2026), $134,544 (Q4 2025) and $103,294 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 4.21 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | - |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 756.00 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 3.88 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Big Digital Energy | 24.97 Mn | -9.31 Mn | 1.61 Mn | 111,345.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111,345.00 |
| Mar 31, 2026 | 68,863.00 |
| Dec 31, 2025 | 134,544.00 |
| Sep 30, 2025 | 103,294.00 |
| Jun 30, 2025 | 103,293.00 |
| Mar 31, 2025 | 103,295.00 |
| Dec 31, 2024 | 103,294.00 |
| Sep 30, 2024 | 103,295.00 |
| Jun 30, 2024 | 113,934.00 |
| Mar 31, 2024 | 509,544.00 |
| Dec 31, 2023 | -355,256.00 |
| Sep 30, 2023 | 3.17 Mn |
| Jun 30, 2023 | 4.28 Mn |
| Mar 31, 2023 | 5.41 Mn |
| Dec 31, 2022 | 15.75 Mn |
| Sep 30, 2022 | 13.09 Mn |
| Jun 30, 2022 | 557,982.00 |
| Mar 31, 2022 | 379,026.00 |
| Dec 31, 2021 | -1.13 Mn |
| Sep 30, 2021 | 638,715.00 |
Big Digital Energy Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();