Big Digital Energy (BGDE) Total Liabilities (2011 - 2026)
Big Digital Energy's Total Liabilities was $47.3 million in Q2 2026, down 22.6% from $61.08 million a year earlier but up 7.4% from the prior quarter.
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Analysis
Big Digital Energy (BGDE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Big Digital Energy came in at $60.56 million, down 6.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 93.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $64.68 million in FY2024 (+18.9%), $54.38 million in FY2023 (-4.9%), $57.16 million in FY2022 (+86.1%) and $30.71 million in FY2021.
- Quarterly Total Liabilities has moved between $6.96 million (Q3 2021) and $90.72 million (Q2 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with growth averaging 0.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 323.6%); the worst was Q3 2023 (a decline of 45.6%).
- Per Business Quant data, BGDE's Total Liabilities in the three quarters before Q2 2026 was $44.05 million (Q1 2026), $60.56 million (Q4 2025) and $61.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 7.99 Bn |
| 10 | Big Digital Energy | 24.97 Mn | -9.31 Mn | 1.61 Mn | 47.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.30 Mn |
| Mar 31, 2026 | 44.05 Mn |
| Dec 31, 2025 | 60.56 Mn |
| Sep 30, 2025 | 61.42 Mn |
| Jun 30, 2025 | 61.08 Mn |
| Mar 31, 2025 | 59.31 Mn |
| Dec 31, 2024 | 64.68 Mn |
| Sep 30, 2024 | 62.32 Mn |
| Jun 30, 2024 | 61.22 Mn |
| Mar 31, 2024 | 54.70 Mn |
| Dec 31, 2023 | 54.38 Mn |
| Sep 30, 2023 | 47.78 Mn |
| Jun 30, 2023 | 49.44 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 57.16 Mn |
| Sep 30, 2022 | 87.84 Mn |
| Jun 30, 2022 | 90.72 Mn |
| Mar 31, 2022 | 62.04 Mn |
| Dec 31, 2021 | 30.71 Mn |
| Sep 30, 2021 | 6.96 Mn |
API Access
Big Digital Energy Total Liabilities 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=total-liabilities&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();