Sanara MedTech (SMTI) Long-Term Debt Repayments (2010 - 2017)
Sanara MedTech's Long-Term Debt Repayments came in at $1.65 million for FY2025.
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Analysis
Sanara MedTech (SMTI) Long-Term Debt Repayments (2010 - 2017) 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 | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Sanara MedTech | 302.28 Mn | 302.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2013 | -65,025.00 |
| Dec 31, 2012 | -3.18 Mn |
| Sep 30, 2012 | 925,000.00 |
| Jun 30, 2012 | 1.12 Mn |
| Mar 31, 2012 | -540,000.00 |
| Dec 31, 2011 | -540,001.00 |
| Sep 30, 2011 | -4.23 Mn |
| Jun 30, 2011 | 2.14 Mn |
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_KEYimport 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();