Milestone Scientific (MLSS) Debt Ratio (2009 - 2026)
Milestone Scientific's (MLSS) Debt Ratio was 0.10 for Q2 2025.
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Analysis
Milestone Scientific (MLSS) Debt Ratio (2009 - 2026) Analysis & Trends
For FY2020, Debt Ratio at Milestone Scientific was 0.01.
- The Q2 2025 figure ranks as the highest quarterly Debt Ratio in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 0.36 |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 0.29 |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 0.28 |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 0.32 |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 0.26 |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 0.04 |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 0.31 |
| 10 | Milestone Scientific | 27.18 Mn | 21.49 Mn | 1.61 Mn | 0.01 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.01 |
| Dec 31, 2025 | 0.02 |
| Jun 30, 2025 | 0.10 |
| Mar 31, 2021 | 0.01 |
| Dec 31, 2020 | 0.01 |
| Sep 30, 2020 | 0.01 |
| Jun 30, 2020 | 0.01 |
| Jun 30, 2013 | 0.08 |
| Mar 31, 2013 | 0.08 |
| Dec 31, 2012 | 0.08 |
| Sep 30, 2012 | 0.08 |
| Jun 30, 2012 | 0.07 |
| Mar 31, 2012 | 0.07 |
| Dec 31, 2011 | 0.06 |
| Sep 30, 2011 | 0.06 |
| Jun 30, 2011 | 0.06 |
| Mar 31, 2011 | 0.06 |
| Dec 31, 2010 | 0.07 |
| Sep 30, 2010 | 0.06 |
| Jun 30, 2010 | 0.07 |
API Access
Milestone Scientific Debt Ratio 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=debt-ratio&ticker=MLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "MLSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();