Valens Semiconductor (VLN) Return on Sales [ROS] (2020 - 2026)
Valens Semiconductor (VLN) recorded Return on Sales [ROS] of -28.85% in Q3 2026, up 17.52 percentage points from -46.36% a year earlier and up 15.04 percentage points from the prior quarter.
Valens Semiconductor (VLN) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Valens Semiconductor's Return on Sales [ROS] came in at -42.45% as of Sep 30, 2026, up 6.59 percentage points year-over-year; for FY2025, it was -48.22%, up 23.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -15.98 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -71.45% in FY2024 (-39.47 pp), -31.98% in FY2023 (-0.71 pp), -31.27% in FY2022 (+7.02 pp) and -38.29% in FY2021 (-6.05 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +9.75 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 41.47 percentage points in Q1 2025, against a drop of 69.13 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -43.89% (Q2 2026), -53.02% (Q1 2026) and -47.28% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 76.33% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 58.65% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 66.24% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 53.92% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 80.68% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 21.17% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 15.27% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Valens Semiconductor | 150.45 Mn | -186.43 Mn | 13.63 Mn | -28.85% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -28.85% |
| Jun 30, 2026 | -43.89% |
| Mar 31, 2026 | -53.02% |
| Dec 31, 2025 | -47.28% |
| Sep 30, 2025 | -46.36% |
| Jun 30, 2025 | -43.31% |
| Mar 31, 2025 | -56.19% |
| Dec 31, 2024 | -50.47% |
| Sep 30, 2024 | -76.28% |
| Jun 30, 2024 | -69.21% |
| Mar 31, 2024 | -97.66% |
| Dec 31, 2023 | -7.91% |
| Sep 30, 2023 | -91.34% |
| Jun 30, 2023 | -21.44% |
| Mar 31, 2023 | -29.56% |
| Dec 31, 2022 | -34.51% |
| Sep 30, 2022 | -22.21% |
| Jun 30, 2022 | -35.29% |
| Mar 31, 2022 | -33.29% |
| Dec 31, 2021 | -41.59% |
Valens Semiconductor 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=VLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VLN", "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=VLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();