Retractable Technologies (RVP) Total Current Liabilities (2009 - 2026)
Retractable Technologies' Total Current Liabilities came in at $13.37 million for Q2 2026, up 48.7% from $8.99 million a year earlier and up 27.9% from the prior quarter.
Retractable Technologies (RVP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Retractable Technologies' Total Current Liabilities was $9.6 million, up 9.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $8.78 million in FY2024 (-6.4%), $9.38 million in FY2023 (-22.7%), $12.14 million in FY2022 (-65.6%) and $35.32 million in FY2021 (+26.6%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q3 2022.
- Year-over-year, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 15.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 144.7%), and the weakest in Q2 2022 (a decline of 65.9%).
- Business Quant data shows RVP's Total Current Liabilities at $10.45 million (Q1 2026), $9.6 million (Q4 2025) and $9.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Retractable Technologies | 16.47 Mn | -129.94 Mn | 190,852.00 | 13.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.37 Mn |
| Mar 31, 2026 | 10.45 Mn |
| Dec 31, 2025 | 9.60 Mn |
| Sep 30, 2025 | 9.63 Mn |
| Jun 30, 2025 | 8.99 Mn |
| Mar 31, 2025 | 9.50 Mn |
| Dec 31, 2024 | 8.78 Mn |
| Sep 30, 2024 | 8.02 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 6.87 Mn |
| Dec 31, 2023 | 9.38 Mn |
| Sep 30, 2023 | 9.26 Mn |
| Jun 30, 2023 | 8.87 Mn |
| Mar 31, 2023 | 10.29 Mn |
| Dec 31, 2022 | 12.14 Mn |
| Sep 30, 2022 | 14.99 Mn |
| Jun 30, 2022 | 16.25 Mn |
| Mar 31, 2022 | 28.43 Mn |
| Dec 31, 2021 | 35.32 Mn |
| Sep 30, 2021 | 36.20 Mn |
Retractable Technologies Total 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-current-liabilities&ticker=RVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();