Vicarious Surgical (RBOT) Interest Coverage Ratio (2020 - 2023)
Vicarious Surgical's Interest Coverage Ratio came in at -706.41 for Q4 2023, compared with -185.68 a year earlier.
Analysis
Vicarious Surgical (RBOT) Interest Coverage Ratio (2020 - 2023) Analysis & Trends
For FY2023, Vicarious Surgical's Interest Coverage Ratio was -3226.64.
- Going back by year, Interest Coverage Ratio was -400.39 in FY2022, -429.47 in FY2021 and -4328.33 in FY2020.
- The five-year range for quarterly Interest Coverage Ratio is -22315.00 (Q1 2023) to -185.68 (Q4 2022).
- Business Quant data shows RBOT's Interest Coverage Ratio at -21352.00 (Q3 2023), -21458.00 (Q2 2023) and -22315.00 (Q1 2023) in the three quarters before Q4 2023.
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 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -706.41 |
| Sep 30, 2023 | -21,352.00 |
| Jun 30, 2023 | -21,458.00 |
| Mar 31, 2023 | -22,315.00 |
| Dec 31, 2022 | -185.68 |
| Sep 30, 2022 | -714.90 |
| Jun 30, 2022 | -659.52 |
| Mar 31, 2022 | -626.90 |
| Dec 31, 2021 | -594.00 |
| Sep 30, 2021 | -276.16 |
| Jun 30, 2021 | -244.89 |
| Mar 31, 2021 | -5,231.00 |
| Dec 31, 2020 | -3,784.00 |
| Sep 30, 2020 | -3,341.00 |
API Access
Vicarious Surgical 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=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "ticker": "RBOT", "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=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();