Nuburu (BURU) Operating Expenses (2021 - 2026)
Nuburu (BURU) recorded Operating Expenses of $5.44 million in Q2 2026, up 17.8% from $4.62 million a year earlier but down 28.9% from the prior quarter.
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Analysis
Nuburu (BURU) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Nuburu's Operating Expenses came in at $23.87 million as of Jun 30, 2026, up 95.5% year-over-year; for FY2025, it was $18.2 million, up 64.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 116.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $11.1 million in FY2024 (-38.8%), $18.12 million in FY2023 (+71.3%), $10.58 million in FY2022 (+89.9%) and $5.57 million in FY2021.
- Quarterly Operating Expenses has ranged from $386,940 in Q3 2021 to $8.09 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 48.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 654.4% in Q3 2022, against a decline of 49.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.66 million (Q1 2026), $8.09 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Nuburu | 4.85 Mn | 4.85 Mn | -378,569.00 | 5.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.44 Mn |
| Mar 31, 2026 | 7.66 Mn |
| Dec 31, 2025 | 8.09 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 4.62 Mn |
| Mar 31, 2025 | 2.81 Mn |
| Dec 31, 2024 | 2.67 Mn |
| Sep 30, 2024 | 2.12 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 3.76 Mn |
| Dec 31, 2023 | 4.34 Mn |
| Sep 30, 2023 | 4.21 Mn |
| Jun 30, 2023 | 5.01 Mn |
| Mar 31, 2023 | 4.56 Mn |
| Dec 31, 2022 | 3.16 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.68 Mn |
| Mar 31, 2022 | 1.82 Mn |
| Dec 31, 2021 | 877,770.00 |
| Sep 30, 2021 | 386,940.00 |
API Access
Nuburu Operating 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=operating-expenses&ticker=BURU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BURU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();