Milestone Scientific (MLSS) Total Liabilities (2010 - 2026)
Milestone Scientific (MLSS) reported Total Liabilities of $5.68 million for Q1 2026, up 22.8% from $4.63 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Milestone Scientific (MLSS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Milestone Scientific posted Total Liabilities of $4.99 million, up 26.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $3.96 million in FY2024 (+18.0%), $3.36 million in FY2023 (-9.1%), $3.7 million in FY2022 (+2.8%) and $3.59 million in FY2021 (+3.7%).
- Five-year quarterly Total Liabilities spans a low of $1.03 million in Q2 2022 and a high of $5.94 million in Q3 2025.
- Year over year, Total Liabilities has now increased in each of the last six quarters, with growth averaging 19.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2023 (growth of 257.5%); the low point was Q2 2022 (a decline of 70.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $4.99 million (Q4 2025), $5.94 million (Q3 2025) and $4.71 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Milestone Scientific | 32.99 Mn | 28.03 Mn | 1.56 Mn | 5.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.68 Mn |
| Dec 31, 2025 | 4.99 Mn |
| Sep 30, 2025 | 5.94 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 3.96 Mn |
| Sep 30, 2024 | 3.95 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | 3.89 Mn |
| Dec 31, 2023 | 3.36 Mn |
| Sep 30, 2023 | 4.38 Mn |
| Jun 30, 2023 | 3.67 Mn |
| Mar 31, 2023 | 3.02 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 4.10 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 4.30 Mn |
| Dec 31, 2021 | 3.59 Mn |
| Sep 30, 2021 | 4.05 Mn |
| Jun 30, 2021 | 3.49 Mn |
API Access
Milestone Scientific Total 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-liabilities&ticker=MLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();