BioCorRx (BICX) Return on Sales [ROS] (2011 - 2026)
BioCorRx (BICX) posted Return on Sales [ROS] of -445.61% for Q1 2026, up 249.69 percentage points from -695.29% a year earlier and up 160.44 percentage points from the prior quarter.
BioCorRx (BICX) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at BioCorRx was -553.06%, up 3111.55 percentage points year-over-year; for FY2025, it came in at -606.04%, up 66223.77 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5503.82 percentage points (FY2020 to FY2025).
- In prior years, BioCorRx's Return on Sales [ROS] was -66829.81% in FY2024 (-62581.50 pp), -4248.31% in FY2023 (-2051.36 pp), -2196.96% in FY2022 (+9217.75 pp) and -11414.71% in FY2021 (-5304.84 pp).
- Quarterly Return on Sales [ROS] has run from a low of -66829.81% in Q4 2024 to a high of -306.28% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +5407.02 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 66223.77 percentage points; the weakest was Q4 2024, with a drop of 62485.57 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -606.04% (Q4 2025), -306.28% (Q3 2025) and -793.28% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | BioCorRx | 830.00 | -906,148.00 | -56,997.00 | -1,665.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,665.95% |
| Mar 31, 2026 | -445.61% |
| Dec 31, 2025 | -54.25% |
| Sep 30, 2025 | -306.28% |
| Jun 30, 2025 | -793.28% |
| Mar 31, 2025 | -695.29% |
| Sep 30, 2023 | -3,874.22% |
| Jun 30, 2023 | -4,822.52% |
| Mar 31, 2023 | -2,611.93% |
| Dec 31, 2022 | -1,430.79% |
| Sep 30, 2022 | -1,089.70% |
| Mar 31, 2022 | -5,481.40% |
| Mar 31, 2018 | -364.84% |
| Dec 31, 2017 | -623.57% |
| Sep 30, 2017 | -449.65% |
| Jun 30, 2017 | -373.61% |
| Mar 31, 2017 | -307.20% |
| Dec 31, 2016 | -792.16% |
| Sep 30, 2016 | -308.70% |
| Jun 30, 2016 | -219.41% |
BioCorRx Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BICX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BICX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();