KORU Medical Systems (KRMD) EV to EBITDA (2011 - 2026)
KORU Medical Systems' (KRMD) EV to EBITDA was 646.14 for Q3 2026.
Analysis
KORU Medical Systems (KRMD) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, KORU Medical Systems' EV to EBITDA came in at 515.52; for FY2019, it was 272.25, up 576.8% from FY2018.
- By year, EV to EBITDA came in at 40.23 in FY2018 (+38.1%), 29.13 in FY2017, 11.78 in FY2016 (+40.7%) and 8.37 in FY2015 (+109.9%).
- The Q3 2026 figure ranks as the highest quarterly EV to EBITDA since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | KORU Medical Systems | 171.59 Mn | 138.22 Mn | 7.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 646.14 |
| Sep 30, 2020 | 2,102.58 |
| Jun 30, 2020 | 626.71 |
| Mar 31, 2020 | 178.34 |
| Dec 31, 2019 | 272.25 |
| Sep 30, 2019 | 234.99 |
| Jun 30, 2019 | 360.89 |
| Mar 31, 2019 | 67.53 |
| Dec 31, 2018 | 40.23 |
| Sep 30, 2018 | 25.75 |
| Jun 30, 2018 | 21.56 |
| Mar 31, 2018 | 25.38 |
| Dec 31, 2017 | 36.77 |
| Sep 30, 2017 | 24.82 |
| Nov 30, 2016 | 71.65 |
| Aug 31, 2016 | 21.39 |
| May 31, 2016 | 7.78 |
| Feb 29, 2016 | 11.65 |
| Nov 30, 2015 | 10.65 |
| Aug 31, 2015 | 9.36 |
API Access
KORU Medical Systems 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=KRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "KRMD", "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=KRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();