Retractable Technologies (RVP) Long-Term Debt Repayments (2019 - 2026)
Retractable Technologies' Long-Term Debt Repayments was $90,512 in Q2 2026, up 8.9% from $83,114 a year earlier and up 1.5% from the prior quarter.
Retractable Technologies (RVP) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Retractable Technologies' Long-Term Debt Repayments was $351,571 through Jun 30, 2026, up 9.5% year-over-year; for FY2025, it was $336,877, up 10.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $304,988 in FY2024 (+8.2%), $281,866 in FY2023 (-0.7%), $283,933 in FY2022 (+3.3%) and $274,791 in FY2021 (+5.3%).
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q4 2019.
- Compared with a year earlier, Long-Term Debt Repayments has increased for 11 straight quarters, with growth averaging 9.8% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2025 (growth of 11.2%); the worst was Q2 2023 (a decline of 4.1%).
- Per Business Quant data, RVP's Long-Term Debt Repayments in the three quarters before Q2 2026 was $89,212 (Q1 2026), $87,062 (Q4 2025) and $84,785 (Q3 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 | Retractable Technologies | 17.40 Mn | -129.01 Mn | 190,852.00 | 140,535.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140,535.00 |
| Mar 31, 2026 | 89,212.00 |
| Dec 31, 2025 | 87,062.00 |
| Sep 30, 2025 | 84,785.00 |
| Jun 30, 2025 | 83,114.00 |
| Mar 31, 2025 | 81,916.00 |
| Dec 31, 2024 | 79,383.00 |
| Sep 30, 2024 | 76,642.00 |
| Jun 30, 2024 | 75,315.00 |
| Mar 31, 2024 | 73,648.00 |
| Dec 31, 2023 | 72,077.00 |
| Sep 30, 2023 | 70,643.00 |
| Jun 30, 2023 | 68,650.00 |
| Mar 31, 2023 | 70,496.00 |
| Dec 31, 2022 | 70,272.00 |
| Sep 30, 2022 | 70,814.00 |
| Jun 30, 2022 | 71,595.00 |
| Mar 31, 2022 | 71,252.00 |
| Dec 31, 2021 | 68,481.00 |
| Sep 30, 2021 | 69,520.00 |
Retractable Technologies 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=RVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RVP", "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=RVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();