Maxcyte (MXCT) Non Operating Interest Expenses (2020 - 2022)
Maxcyte (MXCT) posted Non Operating Interest Expenses of $11,000 for Q4 2022, down 90.5% from the prior quarter.
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Analysis
Maxcyte (MXCT) Non Operating Interest Expenses (2020 - 2022) Analysis & Trends
For FY2022, Maxcyte's Non Operating Interest Expenses came in at $127,000, down 87.8% from FY2021.
- Annual Non Operating Interest Expenses shows a three-year compound annual growth rate of -42.9% (FY2019 to FY2022).
- In prior years, Maxcyte's Non Operating Interest Expenses was $1.04 million in FY2021 (+26.5%), $825,600 in FY2020 (+21.2%) and $681,100 in FY2019.
- The Q4 2022 figure stands as the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | Maxcyte | 118.87 Mn | 118.87 Mn | 5.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 11,000.00 |
| Sep 30, 2022 | 116,000.00 |
| Sep 30, 2021 | 289,000.00 |
| Jun 30, 2021 | 13,200.00 |
| Mar 31, 2021 | 742,300.00 |
| Dec 31, 2020 | 280,600.00 |
| Sep 30, 2020 | 263,200.00 |
| Jun 30, 2020 | 164,700.00 |
API Access
Maxcyte 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=MXCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "MXCT", "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=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();