Retractable Technologies (RVP) Total Non-Current Liabilities (2018 - 2026)
Retractable Technologies' Total Non-Current Liabilities was $13.7 million in Q2 2026, up 41.2% from $9.7 million a year earlier and up 25.9% from the prior quarter.
Powered by 
Analysis
Retractable Technologies (RVP) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Retractable Technologies came in at $10.13 million, up 4.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -19.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.68 million in FY2024 (-8.8%), $10.61 million in FY2023 (-22.4%), $13.67 million in FY2022 (-63.2%) and $37.14 million in FY2021 (+21.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2022.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 10.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 117.7%); the worst was Q2 2022 (a decline of 63.9%).
- Per Business Quant data, RVP's Total Non-Current Liabilities in the three quarters before Q2 2026 was $10.88 million (Q1 2026), $10.13 million (Q4 2025) and $10.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Retractable Technologies | 20.96 Mn | -125.45 Mn | 190,852.00 | 13.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.70 Mn |
| Mar 31, 2026 | 10.88 Mn |
| Dec 31, 2025 | 10.13 Mn |
| Sep 30, 2025 | 10.25 Mn |
| Jun 30, 2025 | 9.70 Mn |
| Mar 31, 2025 | 10.31 Mn |
| Dec 31, 2024 | 9.68 Mn |
| Sep 30, 2024 | 9.01 Mn |
| Jun 30, 2024 | 8.49 Mn |
| Mar 31, 2024 | 8.03 Mn |
| Dec 31, 2023 | 10.61 Mn |
| Sep 30, 2023 | 10.57 Mn |
| Jun 30, 2023 | 10.26 Mn |
| Mar 31, 2023 | 11.75 Mn |
| Dec 31, 2022 | 13.67 Mn |
| Sep 30, 2022 | 16.59 Mn |
| Jun 30, 2022 | 17.91 Mn |
| Mar 31, 2022 | 30.17 Mn |
| Dec 31, 2021 | 37.14 Mn |
| Sep 30, 2021 | 38.09 Mn |
API Access
Retractable Technologies Total Non-Current 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-non-current-liabilities&ticker=RVP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();