Valens Semiconductor (VLN) Research & Development (2020 - 2026)
Valens Semiconductor's Research & Development came in at $10.77 million for Q3 2026, down 0.3% from $10.8 million a year earlier but up 6.9% from the prior quarter.
Valens Semiconductor (VLN) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Valens Semiconductor reported Research & Development of $42.21 million, up 1.3% year-over-year; for FY2025, it was $42.66 million, up 5.4% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Research & Development was $40.48 million in FY2024 (-16.0%), $48.17 million in FY2023 (-17.2%), $58.21 million in FY2022 (+24.2%) and $46.88 million in FY2021 (+4.8%).
- The five-year range for quarterly Research & Development is $8.63 million (Q4 2023) to $16.46 million (Q4 2022).
- Year-over-year, Research & Development has declined for three consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2021 (growth of 37.5%), and the weakest in Q4 2023 (a decline of 47.6%).
- Business Quant data shows VLN's Research & Development at $10.08 million (Q2 2026), $10.29 million (Q1 2026) and $11.06 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 2.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 7.05 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 2.90 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.91 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 2.80 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.49 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 1.13 Bn |
| 10 | Valens Semiconductor | 150.45 Mn | -186.43 Mn | 13.63 Mn | 10.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.77 Mn |
| Jun 30, 2026 | 10.08 Mn |
| Mar 31, 2026 | 10.29 Mn |
| Dec 31, 2025 | 11.06 Mn |
| Sep 30, 2025 | 10.80 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 10.59 Mn |
| Dec 31, 2024 | 10.06 Mn |
| Sep 30, 2024 | 10.31 Mn |
| Jun 30, 2024 | 9.96 Mn |
| Mar 31, 2024 | 10.15 Mn |
| Dec 31, 2023 | 8.63 Mn |
| Sep 30, 2023 | 13.42 Mn |
| Jun 30, 2023 | 12.16 Mn |
| Mar 31, 2023 | 13.96 Mn |
| Dec 31, 2022 | 16.46 Mn |
| Sep 30, 2022 | 12.71 Mn |
| Jun 30, 2022 | 14.90 Mn |
| Mar 31, 2022 | 14.13 Mn |
| Dec 31, 2021 | 14.89 Mn |
Valens Semiconductor Research & Development 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=research-and-development&ticker=VLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();