Qt Imaging Holdings (QTI) Receivables (2023 - 2026)
Qt Imaging Holdings (QTI) posted Receivables of $7.54 million for Q2 2026, up 74.6% from $4.32 million a year earlier and up 18.1% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings' Receivables came in at $5.88 million.
- In prior years, Qt Imaging Holdings' Receivables was $253,000 in FY2024 and $1,290 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2023.
- According to Business Quant data, Receivables for the three prior quarters was $6.38 million (Q1 2026), $5.88 million (Q4 2025) and $3.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Qt Imaging Holdings | 33.73 Mn | 3.48 Mn | 3.06 Mn | 7.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Mn |
| Mar 31, 2026 | 6.38 Mn |
| Dec 31, 2025 | 5.88 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 2.78 Mn |
| Dec 31, 2024 | 253,000.00 |
| 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 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&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();