Biomerica (BMRA) Return on Sales [ROS] (2010 - 2026)
Biomerica (BMRA) reported Return on Sales [ROS] of -175.20% for fiscal Q4 2026 (quarter ended May 31, 2026), up 33.61 percentage points from -208.81% a year earlier but down 43.69 percentage points from the prior quarter.
Biomerica (BMRA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Biomerica posted Return on Sales [ROS] of -119.47%, down 22.75 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -15.29 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -96.72% in FY2025 (+20.86 pp), -117.58% in FY2024 (+17.71 pp), -135.29% in FY2023 (-111.26 pp) and -24.03% in FY2022 (+80.15 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -208.81% in fiscal Q4 2025 and a high of -1.40% in fiscal Q3 2022.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of +0.86 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2022 (a gain of 130.27 percentage points); the low point was fiscal Q3 2023 (a drop of 147.20 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -131.51% (Q3 2026), -113.47% (Q2 2026) and -81.01% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Biomerica | 6.90 Mn | -1.34 Mn | -71,000.00 | -175.20% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -175.20% |
| Feb 28, 2026 | -131.51% |
| Nov 30, 2025 | -113.47% |
| Aug 31, 2025 | -81.01% |
| May 31, 2025 | -208.81% |
| Feb 28, 2025 | -108.13% |
| Nov 30, 2024 | -60.70% |
| Aug 31, 2024 | -75.71% |
| May 31, 2024 | -136.92% |
| Feb 29, 2024 | -196.66% |
| Nov 30, 2023 | -102.62% |
| Aug 31, 2023 | -71.92% |
| May 31, 2023 | -165.70% |
| Feb 28, 2023 | -148.60% |
| Nov 30, 2022 | -112.42% |
| Aug 31, 2022 | -126.45% |
| May 31, 2022 | -33.13% |
| Feb 28, 2022 | -1.40% |
| Nov 30, 2021 | -24.31% |
| Aug 31, 2021 | -122.06% |
Biomerica 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=BMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BMRA", "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=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();