Modular Medical (MODD) Interest Expenses (2020 - 2022)
Modular Medical (MODD) reported Interest Expenses of $547,312 for fiscal Q4 2022 (quarter ended Mar 31, 2022), compared with -$42,902 a year earlier and down 45.8% from the prior quarter.
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Analysis
Modular Medical (MODD) Interest Expenses (2020 - 2022) Analysis & Trends
For FY2022 (ended Mar 31, 2022), Modular Medical posted Interest Expenses of $2.75 million.
- By fiscal year, Interest Expenses came in at $39,791 in FY2021.
- Five-year quarterly Interest Expenses spans a low of -$42,902 in fiscal Q4 2021 and a high of $1.01 million in fiscal Q3 2022.
- Per Business Quant data, the three fiscal quarters before Q4 2022 came in at $1.01 million (Q3 2022), $685,793 (Q2 2022) and $508,877 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 547,312.00 |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | 685,793.00 |
| Jun 30, 2021 | 508,877.00 |
| Mar 31, 2021 | -42,902.00 |
| Dec 31, 2020 | 3,105.00 |
| Sep 30, 2020 | 4,000.00 |
API Access
Modular Medical 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=MODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MODD", "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=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();