Blaize Holdings (BZAI) Operating Expenses (2022 - 2026)
Blaize Holdings (BZAI) posted Operating Expenses of $31.52 million for Q2 2026, up 36.7% from $23.06 million a year earlier and up 26.3% from the prior quarter.
Blaize Holdings (BZAI) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Blaize Holdings was $104.76 million, up 15.3% year-over-year; for FY2025, it came in at $110.04 million, up 126.4% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 537.1% (FY2021 to FY2025).
- In prior years, Blaize Holdings' Operating Expenses was $48.61 million in FY2024, $3.04 million in FY2023 (+130.2%), $1.32 million in FY2022 and $66,791 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in five of the last six quarters, with growth averaging 99.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 455.4%; the weakest was Q1 2026, with a decline of 35.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $24.96 million (Q1 2026), $23.91 million (Q4 2025) and $24.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Blaize Holdings | 71.39 Mn | -68.46 Mn | 918,000.00 | 31.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.52 Mn |
| Mar 31, 2026 | 24.96 Mn |
| Dec 31, 2025 | 23.91 Mn |
| Sep 30, 2025 | 24.36 Mn |
| Jun 30, 2025 | 23.06 Mn |
| Mar 31, 2025 | 38.70 Mn |
| Dec 31, 2024 | 17.46 Mn |
| Sep 30, 2024 | 11.67 Mn |
| Jun 30, 2024 | 11.36 Mn |
| Mar 31, 2024 | 8.69 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 677,703.00 |
| Jun 30, 2023 | 506,455.00 |
| Mar 31, 2023 | 701,539.00 |
| Dec 31, 2022 | 725,069.00 |
| Sep 30, 2022 | 280,519.00 |
| Jun 30, 2022 | 220,049.00 |
| Mar 31, 2022 | 126,307.00 |
Blaize Holdings 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=BZAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BZAI", "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=BZAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();