Qt Imaging Holdings (QTI) Price to Sales (2023 - 2026)
Qt Imaging Holdings' Price to Sales was 2.12 in Q2 2026, down 90.8% from 23.12 a year earlier and down 32.0% from the prior quarter.
Analysis
Qt Imaging Holdings (QTI) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at Qt Imaging Holdings came in at 3.84, down 61.6% from FY2024.
- In earlier years, Price to Sales was 9.99 in FY2024 (-99.9%) and 13039.07 in FY2023.
- The Q2 2026 figure marks the lowest quarterly Price to Sales in data going back to Q4 2023.
- Compared with a year earlier, Price to Sales has declined for three straight quarters, with an average decline of 50.5% over the last seven quarters.
- Per Business Quant data, QTI's Price to Sales in the three quarters before Q2 2026 was 3.12 (Q1 2026), 3.84 (Q4 2025) and 29.83 (Q3 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 | Qt Imaging Holdings | 36.76 Mn | 6.51 Mn | 3.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 |
| Mar 31, 2026 | 3.12 |
| Dec 31, 2025 | 3.84 |
| Sep 30, 2025 | 29.83 |
| Jun 30, 2025 | 23.12 |
| Mar 31, 2025 | 13.14 |
| Dec 31, 2024 | 9.99 |
| Sep 30, 2024 | 18.84 |
| Jun 30, 2024 | 25.52 |
| Mar 31, 2024 | 50.25 |
| Dec 31, 2023 | 13,039.07 |
API Access
Qt Imaging Holdings 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=QTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "QTI", "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=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();