Adm Tronics Unlimited (ADMT) EV to EBITDA (2014 - 2023)
Adm Tronics Unlimited's (ADMT) EV to EBITDA was 213.97 for fiscal Q4 2023 (quarter ended Mar 31, 2023), up 230.1% from the prior quarter.
Analysis
Adm Tronics Unlimited (ADMT) EV to EBITDA (2014 - 2023) Analysis & Trends
Dating back to fiscal Q2 2015, Adm Tronics Unlimited's EV to EBITDA record includes 17 quarters.
- By fiscal year, EV to EBITDA came in at 153.79 in FY2020.
- The fiscal Q4 2023 figure ranks as the highest quarterly EV to EBITDA in data going back to fiscal Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.31 Bn | 233.34 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 176.98 Bn | 147.41 Bn | 7.27 Bn |
| 3 | Danaher | 164.79 Bn | 148.60 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn |
| 5 | Medtronic | 122.92 Bn | 88.18 Bn | 6.34 Bn |
| 6 | Stryker | 118.26 Bn | 104.38 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn |
| 10 | Adm Tronics Unlimited | 3.38 Mn | 2.28 Mn | 395,050.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 105.66 |
| Dec 31, 2022 | 34.02 |
| Mar 31, 2020 | 153.79 |
| Dec 31, 2017 | 26.76 |
| Sep 30, 2017 | 29.82 |
| Jun 30, 2017 | 16.08 |
| Mar 31, 2017 | 8.81 |
| Dec 31, 2016 | 9.91 |
| Sep 30, 2016 | 7.38 |
| Jun 30, 2016 | 29.03 |
| Mar 31, 2016 | 37.29 |
| Dec 31, 2015 | 33.58 |
| Sep 30, 2015 | 78.57 |
| Jun 30, 2015 | 16.88 |
| Mar 31, 2015 | 50.09 |
| Dec 31, 2014 | 87.34 |
| Sep 30, 2014 | 74.43 |
API Access
Adm Tronics Unlimited EV to EBITDA 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=ev-to-ebitda&ticker=ADMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "ADMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=ADMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();