Peraso (PRSO) Return on Sales [ROS] (2010 - 2026)
Peraso's Return on Sales [ROS] came in at -171.08% for Q2 2026, down 91.03 percentage points from -80.05% a year earlier.
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Analysis
Peraso (PRSO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peraso reported Return on Sales [ROS] of -67.30%, down 18.66 percentage points year-over-year; for FY2025, it was -39.04%, up 46.29 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last four years, with a five-year change of +50.57 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -85.33% in FY2024 (+64.68 pp), -150.01% in FY2023 (+67.31 pp), -217.33% in FY2022 (+65.79 pp) and -283.11% in FY2021 (-193.51 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] increased in five of the last seven quarters, with an average year-over-year change of +71.05 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 471.20 percentage points), and the weakest in Q3 2021 (a drop of 133.54 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 21.17% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 15.27% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 33.74% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 47.46% |
| 10 | Peraso | 5.00 Mn | -5.74 Mn | 833,000.00 | -171.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -171.08% |
| Dec 31, 2025 | -44.56% |
| Sep 30, 2025 | -36.80% |
| Jun 30, 2025 | -80.05% |
| Mar 31, 2025 | -13.29% |
| Dec 31, 2024 | -44.29% |
| Sep 30, 2024 | -70.29% |
| Jun 30, 2024 | -105.59% |
| Mar 31, 2024 | -128.94% |
| Dec 31, 2023 | -449.10% |
| Sep 30, 2023 | -79.45% |
| Jun 30, 2023 | -209.61% |
| Mar 31, 2023 | -75.42% |
| Dec 31, 2022 | -373.78% |
| Sep 30, 2022 | -121.77% |
| Jun 30, 2022 | -164.24% |
| Mar 31, 2022 | -197.94% |
| Dec 31, 2021 | -251.96% |
| Sep 30, 2021 | -165.66% |
| Jun 30, 2021 | -635.44% |
API Access
Peraso Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PRSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();