Retractable Technologies (RVP) Total Liabilities (2010 - 2026)
Retractable Technologies (RVP) posted Total Liabilities of $68.83 million for Q2 2026, down 2.5% from $70.62 million a year earlier but up 2.0% from the prior quarter.
Retractable Technologies (RVP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Retractable Technologies' Total Liabilities came in at $68.26 million, down 7.2% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Retractable Technologies' Total Liabilities was $73.55 million in FY2024 (-8.5%), $80.38 million in FY2023 (-9.8%), $89.13 million in FY2022 (-16.8%) and $107.14 million in FY2021 (+94.5%).
- Quarterly Total Liabilities has run from a low of $67.5 million in Q1 2026 to a high of $107.14 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 17 quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 251.0%; the weakest was Q4 2022, with a decline of 16.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $67.5 million (Q1 2026), $68.26 million (Q4 2025) and $69.65 million (Q3 2025).
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 | Retractable Technologies | 20.96 Mn | -125.45 Mn | 190,852.00 | 68.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.83 Mn |
| Mar 31, 2026 | 67.50 Mn |
| Dec 31, 2025 | 68.26 Mn |
| Sep 30, 2025 | 69.65 Mn |
| Jun 30, 2025 | 70.62 Mn |
| Mar 31, 2025 | 72.70 Mn |
| Dec 31, 2024 | 73.55 Mn |
| Sep 30, 2024 | 74.35 Mn |
| Jun 30, 2024 | 75.31 Mn |
| Mar 31, 2024 | 76.32 Mn |
| Dec 31, 2023 | 80.38 Mn |
| Sep 30, 2023 | 82.09 Mn |
| Jun 30, 2023 | 83.22 Mn |
| Mar 31, 2023 | 86.19 Mn |
| Dec 31, 2022 | 89.13 Mn |
| Sep 30, 2022 | 91.60 Mn |
| Jun 30, 2022 | 91.78 Mn |
| Mar 31, 2022 | 102.18 Mn |
| Dec 31, 2021 | 107.14 Mn |
| Sep 30, 2021 | 98.40 Mn |
Retractable Technologies 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=RVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();