Neuraxis (NRXS) Price to Sales (2023 - 2025)
Neuraxis' (NRXS) Price to Sales stood at 13.55 in Q4 2025, up 121.6% from 6.12 a year earlier and up 49.6% from the prior quarter.
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Analysis
Neuraxis (NRXS) Price to Sales (2023 - 2025) Analysis & Trends
Starting with Q3 2023, Neuraxis' Price to Sales history includes 10 quarters.
- Across earlier years, Price to Sales came in at 6.12 in FY2024 (+73.3%) and 3.53 in FY2023.
- The Q4 2025 figure is the highest quarterly Price to Sales in data going back to Q3 2023.
- On a year-over-year basis, Price to Sales rose in four of the last six quarters, with growth averaging 34.2%.
- Per Business Quant, the preceding three quarters came in at 9.06 (Q3 2025), 7.42 (Q2 2025) and 5.29 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Neuraxis | 88.77 Mn | 64.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.55 |
| Sep 30, 2025 | 9.06 |
| Jun 30, 2025 | 7.42 |
| Mar 31, 2025 | 5.29 |
| Dec 31, 2024 | 6.12 |
| Sep 30, 2024 | 8.47 |
| Jun 30, 2024 | 8.39 |
| Mar 31, 2024 | 8.94 |
| Dec 31, 2023 | 3.53 |
| Sep 30, 2023 | 5.42 |
API Access
Neuraxis 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=NRXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "NRXS", "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=NRXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();