QTREX Quantum (QTEX) Non Operating Interest Expenses (2021 - 2023)
QTREX Quantum (QTEX) reported Non Operating Interest Expenses of -$686,000 for Q4 2023, compared with $141,000 a year earlier.
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Analysis
QTREX Quantum (QTEX) Non Operating Interest Expenses (2021 - 2023) Analysis & Trends
For FY2023, QTREX Quantum posted Non Operating Interest Expenses of -$529,000.
- By year, Non Operating Interest Expenses came in at $275,000 in FY2022, $959,000 in FY2020 (-71.0%) and $3.3 million in FY2019.
- The Q4 2023 figure ranks as the lowest quarterly Non Operating Interest Expenses in data going back to Q3 2021.
- Per Business Quant data, the three quarters before Q4 2023 came in at -$15,000 (Q3 2023), $60,000 (Q2 2023) and $112,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.70 Bn | 233.73 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.70 Bn | 146.13 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.78 Bn | 148.58 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 155.70 Bn | 135.13 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.02 Bn | 87.27 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.09 Bn | 103.21 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 66.59 Bn | 61.35 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.40 Bn | 51.55 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn | - |
| 10 | QTREX Quantum | 9.43 Mn | -11.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -15,000.00 |
| Jun 30, 2023 | 60,000.00 |
| Mar 31, 2023 | 112,000.00 |
| Dec 31, 2022 | 141,000.00 |
| Sep 30, 2022 | 135,000.00 |
| Jun 30, 2022 | 14,000.00 |
| Dec 31, 2021 | 2.95 Mn |
| Sep 30, 2021 | 370,000.00 |
API Access
QTREX Quantum 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=QTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "QTEX", "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=QTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();