Sanara MedTech (SMTI) Long-Term Debt Repayments (2009 - 2019)
Sanara MedTech's Long-Term Debt Repayments came in at $1.65 million for FY2025.
Analysis
Sanara MedTech (SMTI) Long-Term Debt Repayments (2009 - 2019) Analysis & Trends
Going back to FY2010, Sanara MedTech's Long-Term Debt Repayments data covers 7 years.
- The FY2025 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Sanara MedTech | 291.06 Mn | 230.52 Mn | 26,155.41 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -2.20 Mn |
| Dec 31, 2017 | 187,416.00 |
| Sep 30, 2017 | 1,149.00 |
| Jun 30, 2017 | 1,147.00 |
| Mar 31, 2017 | 1,126.00 |
| Dec 31, 2016 | 196,805.00 |
| Sep 30, 2016 | 1,193.00 |
| Jun 30, 2016 | 1,170.00 |
| Mar 31, 2016 | 1,194.00 |
| Dec 31, 2015 | 71,128.00 |
| Sep 30, 2015 | 1,967.00 |
| Jun 30, 2015 | 1.10 Mn |
| Mar 31, 2015 | 1,125.00 |
| Dec 31, 2014 | -68,500.00 |
| Mar 31, 2014 | 44,900.00 |
| Dec 31, 2013 | -330,669.00 |
| Jun 30, 2013 | 65,025.00 |
| Mar 31, 2013 | -65,025.00 |
| Dec 31, 2012 | -3.18 Mn |
| Sep 30, 2012 | 925,000.00 |
API Access
Sanara MedTech Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SMTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();