Milestone Scientific (MLSS) Long-Term Debt Repayments (2013 - 2026)
Milestone Scientific (MLSS) recorded Long-Term Debt Repayments of $3,428 in Q1 2026, up 50.5% from $2,278 a year earlier and up 0.4% from the prior quarter.
Milestone Scientific (MLSS) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
On a TTM basis, Milestone Scientific's Long-Term Debt Repayments came in at $13,676 as of Mar 31, 2026, up 34.5% year-over-year; for FY2025, it came in at $13,665, up 34.8% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $10,136 in FY2024 (-5.6%), $10,740 in FY2023 (unchanged), $10,740 in FY2022 (unchanged) and $10,740 in FY2021 (+4.2%).
- The Q1 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q3 2013.
- On a year-over-year basis, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 50.5% in Q1 2026, against a decline of 15.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3,414 (Q4 2025), $3,417 (Q3 2025) and $3,417 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | - |
| 10 | Milestone Scientific | 28.82 Mn | 28.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3,428.00 |
| Dec 31, 2025 | 3,414.00 |
| Sep 30, 2025 | -2,278.00 |
| Jun 30, 2025 | 3,417.00 |
| Mar 31, 2025 | 2,278.00 |
| Dec 31, 2024 | 2,523.00 |
| Sep 30, 2024 | 2,685.00 |
| Jun 30, 2024 | 2,685.00 |
| Mar 31, 2024 | 5,163.00 |
| Dec 31, 2023 | 5,565.00 |
| Sep 30, 2023 | 2,685.00 |
| Jun 30, 2023 | 2,685.00 |
| Mar 31, 2023 | 4,847.00 |
| Dec 31, 2022 | 4,743.00 |
| Sep 30, 2022 | 2,685.00 |
| Jun 30, 2022 | 2,685.00 |
| Mar 31, 2022 | 4,748.00 |
| Dec 31, 2021 | 5,554.00 |
| Sep 30, 2021 | 2,685.00 |
| Jun 30, 2021 | 2,685.00 |
Milestone Scientific 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=MLSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();