Nuburu (BURU) Total Liabilities (2020 - 2026)
Nuburu's Total Liabilities was $58.99 million in Q2 2026, up 24.9% from $47.23 million a year earlier but down 20.3% from the prior quarter.
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Analysis
Nuburu (BURU) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Nuburu came in at $65 million, up 45.1% from FY2024.
- Total Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -29.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $44.81 million in FY2024 (+3.9%), $43.11 million in FY2023 (+42.0%), $30.36 million in FY2022 (-90.7%) and $325.45 million in FY2021 (-15.1%).
- Quarterly Total Liabilities has moved between $30.36 million (Q4 2022) and $364.61 million (Q3 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 26.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 83.6%); the worst was Q3 2022 (a decline of 91.3%).
- Per Business Quant data, BURU's Total Liabilities in the three quarters before Q2 2026 was $73.98 million (Q1 2026), $65 million (Q4 2025) and $67.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Nuburu | 4.85 Mn | 4.85 Mn | -378,569.00 | 58.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.99 Mn |
| Mar 31, 2026 | 73.98 Mn |
| Dec 31, 2025 | 65.00 Mn |
| Sep 30, 2025 | 67.01 Mn |
| Jun 30, 2025 | 47.23 Mn |
| Mar 31, 2025 | 40.29 Mn |
| Dec 31, 2024 | 44.81 Mn |
| Sep 30, 2024 | 44.08 Mn |
| Jun 30, 2024 | 43.18 Mn |
| Mar 31, 2024 | 45.40 Mn |
| Dec 31, 2023 | 43.11 Mn |
| Sep 30, 2023 | 43.98 Mn |
| Jun 30, 2023 | 43.98 Mn |
| Mar 31, 2023 | 38.57 Mn |
| Dec 31, 2022 | 30.36 Mn |
| Sep 30, 2022 | 31.87 Mn |
| Jun 30, 2022 | 330.46 Mn |
| Mar 31, 2022 | 327.34 Mn |
| Dec 31, 2021 | 325.45 Mn |
| Sep 30, 2021 | 364.61 Mn |
API Access
Nuburu 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=BURU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BURU", "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=BURU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();