Next Technology Holding (NXTT) Price to Sales (2022 - 2026)
Next Technology Holding's Price to Sales came in at 7.00 for Q2 2026, up 395.3% from the prior quarter.
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Analysis
Next Technology Holding (NXTT) Price to Sales (2022 - 2026) Analysis & Trends
For FY2025, Next Technology Holding's Price to Sales was 1.20, down 99.9% from FY2024.
- Going back by year, Price to Sales was 1565.83 in FY2024 (+229.8%), 474.81 in FY2023 (-63.5%) and 1302.16 in FY2022.
- The five-year range for quarterly Price to Sales is 0.99 (Q4 2025) to 474638.12 (Q3 2022).
- Business Quant data shows NXTT's Price to Sales at 1.41 (Q1 2026), 0.99 (Q4 2025) and 16.68 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | Next Technology Holding | 4.57 Mn | -332.17 Mn | 353,827.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.00 |
| Mar 31, 2026 | 1.41 |
| Dec 31, 2025 | 0.99 |
| Sep 30, 2025 | 16.68 |
| Dec 31, 2023 | 382.50 |
| Sep 30, 2023 | 27,485.69 |
| Jun 30, 2023 | 225.61 |
| Mar 31, 2023 | 988.22 |
| Dec 31, 2022 | 1,302.16 |
| Sep 30, 2022 | 474,638.12 |
API Access
Next Technology Holding 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=NXTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "NXTT", "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=NXTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();