Modular Medical (MODD) Interest Coverage Ratio (2020 - 2022)
Modular Medical's Interest Coverage Ratio was -7.36 in fiscal Q4 2022 (quarter ended Mar 31, 2022), compared with -40.39 a year earlier.
Analysis
Modular Medical (MODD) Interest Coverage Ratio (2020 - 2022) Analysis & Trends
For FY2022 (ended Mar 31, 2022), Interest Coverage Ratio at Modular Medical came in at -5.42.
- In earlier fiscal years, Interest Coverage Ratio was -184.38 in FY2021.
- Quarterly Interest Coverage Ratio has moved between -602.44 (fiscal Q3 2021) and -3.79 (fiscal Q3 2022) over five years.
- Per Business Quant data, MODD's Interest Coverage Ratio in the three fiscal quarters before Q4 2022 was -3.79 (Q3 2022), -5.39 (Q2 2022) and -6.63 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 12.27 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 5.02 |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -7.36 |
| Dec 31, 2021 | -3.79 |
| Sep 30, 2021 | -5.39 |
| Jun 30, 2021 | -6.63 |
| Mar 31, 2021 | -40.39 |
| Dec 31, 2020 | -602.44 |
| Sep 30, 2020 | -464.79 |
API Access
Modular Medical Interest Coverage Ratio 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-coverage-ratio&ticker=MODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();