Qt Imaging Holdings (QTI) Receivables - Other (2024 - 2026)
Qt Imaging Holdings' Receivables - Other was $133,000 in Q2 2026, down 80.0% from $665,165 a year earlier but up 343.3% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Receivables - Other (2024 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Other at Qt Imaging Holdings came in at $99,000, down 46.8% from FY2024.
- In earlier years, Receivables - Other was $186,000 in FY2024.
- Quarterly Receivables - Other has moved between $23,345 (Q3 2025) and $665,165 (Q2 2025) over five years.
- Per Business Quant data, QTI's Receivables - Other in the three quarters before Q2 2026 was $30,000 (Q1 2026), $99,000 (Q4 2025) and $23,345 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Qt Imaging Holdings | 29.81 Mn | -446,208.56 | 3.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133,000.00 |
| Mar 31, 2026 | 30,000.00 |
| Dec 31, 2025 | 99,000.00 |
| Sep 30, 2025 | 23,345.00 |
| Jun 30, 2025 | 665,165.00 |
| Dec 31, 2024 | 186,000.00 |
API Access
Qt Imaging Holdings Receivables - Other 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-other&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();