Axt (AXTI) Price to Sales (2011 - 2026)
Axt's (AXTI) Price to Sales was 40.55 for Q2 2026, compared with 1.12 a year earlier.
Powered by 
Analysis
Axt (AXTI) Price to Sales (2011 - 2026) Analysis & Trends
For FY2025, Price to Sales at Axt was 8.13, up 721.0% from FY2024.
- By year, Price to Sales came in at 0.99 in FY2024 (-29.3%), 1.40 in FY2023 (+3.6%), 1.35 in FY2022 (-50.8%) and 2.75 in FY2021 (-34.7%).
- The Q2 2026 figure ranks as the highest quarterly Price to Sales in data going back to Q4 2011.
- Year over year, Price to Sales gained in two of the last six quarters, with growth averaging 112.3%.
- The high point for year-over-year Price to Sales in five years was Q4 2025 (growth of 721.0%); the low point was Q1 2025 (a decline of 74.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Axt | 3.38 Bn | 2.67 Bn | 21.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.55 |
| Dec 31, 2025 | 8.13 |
| Sep 30, 2025 | 2.30 |
| Jun 30, 2025 | 1.12 |
| Mar 31, 2025 | 0.67 |
| Dec 31, 2024 | 0.99 |
| Sep 30, 2024 | 1.14 |
| Jun 30, 2024 | 1.70 |
| Mar 31, 2024 | 2.58 |
| Dec 31, 2023 | 1.40 |
| Sep 30, 2023 | 1.27 |
| Jun 30, 2023 | 1.50 |
| Mar 31, 2023 | 1.44 |
| Dec 31, 2022 | 1.35 |
| Sep 30, 2022 | 1.90 |
| Jun 30, 2022 | 1.67 |
| Mar 31, 2022 | 2.07 |
| Dec 31, 2021 | 2.75 |
| Sep 30, 2021 | 2.80 |
| Jun 30, 2021 | 3.97 |
API Access
Axt Price to Sales 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=price-to-sales&ticker=AXTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "AXTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=AXTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();