Qt Imaging Holdings (QTI) Receivables - Net (2023 - 2026)
Qt Imaging Holdings (QTI) posted Receivables - Net of $7.4 million for Q2 2026, up 102.8% from $3.65 million a year earlier and up 16.5% from the prior quarter.
Powered by 
Analysis
Qt Imaging Holdings (QTI) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings' Receivables - Net came in at $5.78 million.
- In prior years, Qt Imaging Holdings' Receivables - Net was $67,000 in FY2024 and $1,290 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q4 2023.
- According to Business Quant data, Receivables - Net for the three prior quarters was $6.35 million (Q1 2026), $5.78 million (Q4 2025) and $3.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Qt Imaging Holdings | 33.73 Mn | 3.48 Mn | 3.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.40 Mn |
| Mar 31, 2026 | 6.35 Mn |
| Dec 31, 2025 | 5.78 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 3.65 Mn |
| Mar 31, 2025 | 2.78 Mn |
| Dec 31, 2024 | 67,000.00 |
| Sep 30, 2024 | 256,886.00 |
| Jun 30, 2024 | 669,138.00 |
| Mar 31, 2024 | 482,357.00 |
| Dec 31, 2023 | 1,290.00 |
API Access
Qt Imaging Holdings Receivables - Net 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=receivables-net&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();