Qt Imaging Holdings (QTI) Non Operating Interest Expenses (2022 - 2023)
Qt Imaging Holdings' Non Operating Interest Expenses was $59,935 in Q4 2023, up 234.6% from $17,914 a year earlier but down 1.1% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Non Operating Interest Expenses (2022 - 2023) Analysis & Trends
For FY2023, Non Operating Interest Expenses at Qt Imaging Holdings came in at $219,686, up 851.1% from FY2022.
- In earlier years, Non Operating Interest Expenses was $23,098 in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $5,184 (Q3 2022) and $60,571 (Q3 2023) over five years.
- Per Business Quant data, QTI's Non Operating Interest Expenses in the three quarters before Q4 2023 was $60,571 (Q3 2023), $56,267 (Q2 2023) and $42,913 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Qt Imaging Holdings | 34.84 Mn | 4.58 Mn | 3.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 59,935.00 |
| Sep 30, 2023 | 60,571.00 |
| Jun 30, 2023 | 56,267.00 |
| Mar 31, 2023 | 42,913.00 |
| Dec 31, 2022 | 17,914.00 |
| Sep 30, 2022 | 5,184.00 |
API Access
Qt Imaging Holdings Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();