Milestone Scientific (MLSS) Total Debt (2010 - 2025)
Milestone Scientific (MLSS) posted Total Debt of $800,000 for Q2 2025.
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Analysis
Milestone Scientific (MLSS) Total Debt (2010 - 2025) Analysis & Trends
At the end of FY2020, Milestone Scientific's Total Debt came in at $276,180.
- The Q2 2025 figure stands as the highest quarterly Total Debt in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Milestone Scientific | 25.74 Mn | 25.74 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 800,000.00 |
| Mar 31, 2021 | 276,180.00 |
| Dec 31, 2020 | 276,180.00 |
| Sep 30, 2020 | 276,180.00 |
| Jun 30, 2020 | 272,099.00 |
| Jun 30, 2013 | 450,000.00 |
| Mar 31, 2013 | 450,000.00 |
| Dec 31, 2012 | 450,000.00 |
| Sep 30, 2012 | 450,000.00 |
| Jun 30, 2012 | 450,000.00 |
| Mar 31, 2012 | 448,468.00 |
| Dec 31, 2011 | 446,935.00 |
| Sep 30, 2011 | 445,403.00 |
| Jun 30, 2011 | 443,871.00 |
| Dec 31, 2010 | 441,639.00 |
API Access
Milestone Scientific Total Debt 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-debt&ticker=MLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();