KORU Medical Systems (KRMD) Total Non-Current Liabilities (2011 - 2024)
KORU Medical Systems (KRMD) reported Total Non-Current Liabilities of $10.28 million for Q4 2024, up 29.0% from $7.97 million a year earlier.
Analysis
KORU Medical Systems (KRMD) Total Non-Current Liabilities (2011 - 2024) Analysis & Trends
- By year, Total Non-Current Liabilities came in at $7.97 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | KORU Medical Systems | 171.59 Mn | 138.22 Mn | 7.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 10.28 Mn |
| Dec 31, 2023 | 7.97 Mn |
| Nov 30, 2014 | 1.19 Mn |
| Aug 31, 2014 | 968,324.00 |
| May 31, 2014 | 239,316.00 |
| Feb 28, 2014 | 244,936.00 |
| Nov 30, 2013 | 299,556.00 |
| Aug 31, 2013 | 305,176.00 |
| May 31, 2013 | 310,794.00 |
| Feb 28, 2013 | 710,275.00 |
| Nov 30, 2012 | 644,500.00 |
| Aug 31, 2012 | 661,569.00 |
| May 31, 2012 | 678,653.00 |
| Feb 29, 2012 | 695,564.00 |
| Nov 30, 2011 | 590,943.00 |
| Aug 31, 2011 | 607,517.00 |
| May 31, 2011 | 432,912.00 |
| Feb 28, 2011 | 640,175.00 |
API Access
KORU Medical Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();