Peraso (PRSO) Operating Expenses (2010 - 2026)
Peraso's Operating Expenses came in at $3.07 million for Q2 2026, up 7.7% from $2.85 million a year earlier.
Powered by 
Analysis
Peraso (PRSO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peraso reported Operating Expenses of $11.7 million, down 17.9% year-over-year; for FY2025, it came in at $11.83 million, down 40.8% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $19.97 million in FY2024 (-11.2%), $22.5 million in FY2023 (-41.2%), $38.27 million in FY2022 (+107.0%) and $18.49 million in FY2021 (+19.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 28.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 208.9%), and the weakest in Q4 2023 (a decline of 65.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Peraso | 6.77 Mn | -3.07 Mn | 833,000.00 | 3.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.07 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 3.01 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 4.51 Mn |
| Jun 30, 2024 | 6.83 Mn |
| Mar 31, 2024 | 4.94 Mn |
| Dec 31, 2023 | 5.53 Mn |
| Sep 30, 2023 | 5.60 Mn |
| Jun 30, 2023 | 5.65 Mn |
| Mar 31, 2023 | 5.72 Mn |
| Dec 31, 2022 | 16.25 Mn |
| Sep 30, 2022 | 5.31 Mn |
| Jun 30, 2022 | 8.52 Mn |
| Mar 31, 2022 | 8.19 Mn |
| Dec 31, 2021 | 5.26 Mn |
| Sep 30, 2021 | 4.44 Mn |
| Jun 30, 2021 | 4.69 Mn |
API Access
Peraso 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=PRSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PRSO", "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=PRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();