Retractable Technologies (RVP) Retained Earnings (2010 - 2026)
Retractable Technologies (RVP) recorded Retained Earnings of $12.36 million in Q2 2026, down 22.6% from $15.97 million a year earlier but up 28.9% from the prior quarter.
Retractable Technologies (RVP) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retractable Technologies reported Retained Earnings of $13.87 million, down 48.0% from FY2024.
- Annual Retained Earnings has declined for three straight years.
- Across earlier years, Retained Earnings came in at $26.67 million in FY2024 (-31.2%), $38.79 million in FY2023 (-15.7%), $46.03 million in FY2022 (+11.8%) and $41.18 million in FY2021.
- Quarterly Retained Earnings has ranged from $9.59 million in Q1 2026 to $50.37 million in Q3 2022 over the past five years.
- On a year-over-year basis, Retained Earnings has declined for 14 consecutive quarters, with an average decline of 38.4% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 488.1% in Q1 2022, against a decline of 58.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.59 million (Q1 2026), $13.87 million (Q4 2025) and $16.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Retractable Technologies | 20.96 Mn | -125.45 Mn | 190,852.00 | 12.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.36 Mn |
| Mar 31, 2026 | 9.59 Mn |
| Dec 31, 2025 | 13.87 Mn |
| Sep 30, 2025 | 16.28 Mn |
| Jun 30, 2025 | 15.97 Mn |
| Mar 31, 2025 | 16.11 Mn |
| Dec 31, 2024 | 26.67 Mn |
| Sep 30, 2024 | 22.96 Mn |
| Jun 30, 2024 | 24.94 Mn |
| Mar 31, 2024 | 39.16 Mn |
| Dec 31, 2023 | 38.79 Mn |
| Sep 30, 2023 | 38.92 Mn |
| Jun 30, 2023 | 43.03 Mn |
| Mar 31, 2023 | 46.96 Mn |
| Dec 31, 2022 | 46.03 Mn |
| Sep 30, 2022 | 50.37 Mn |
| Jun 30, 2022 | 45.04 Mn |
| Mar 31, 2022 | 48.74 Mn |
| Dec 31, 2021 | 41.18 Mn |
| Sep 30, 2021 | 20.34 Mn |
Retractable Technologies Retained Earnings 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=retained-earnings&ticker=RVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();