Qt Imaging Holdings (QTI) Interest Expenses (2022 - 2023)
Qt Imaging Holdings (QTI) reported Interest Expenses of $59,935 for 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) Interest Expenses (2022 - 2023) Analysis & Trends
For FY2023, Qt Imaging Holdings posted Interest Expenses of $219,686, up 851.1% from FY2022.
- By year, Interest Expenses came in at $23,098 in FY2022.
- Five-year quarterly Interest Expenses spans a low of $5,184 in Q3 2022 and a high of $60,571 in Q3 2023.
- Per Business Quant data, the three quarters before Q4 2023 came in at $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Qt Imaging Holdings | 35.11 Mn | 4.85 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 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=interest-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();