Biomerica (BMRA) Return on Assets [ROA] (2011 - 2026)
Biomerica (BMRA) posted Return on Assets [ROA] of -64.88% for fiscal Q4 2026 (quarter ended May 31, 2026), up 9.78 percentage points from -74.66% a year earlier and up 11.62 percentage points from the prior quarter.
Biomerica (BMRA) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Biomerica's Return on Assets [ROA] came in at -59.43%, up 6.01 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of -8.22 percentage points (FY2021 to FY2026).
- In prior fiscal years, Biomerica's Return on Assets [ROA] was -65.44% in FY2025 (-15.01 pp), -50.43% in FY2024 (+4.86 pp), -55.29% in FY2023 (-16.22 pp) and -39.07% in FY2022 (+12.14 pp).
- Quarterly Return on Assets [ROA] has run from a low of -78.45% in fiscal Q3 2023 to a high of -27.70% in fiscal Q3 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -6.16 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q4 2022, with a gain of 27.86 percentage points; the weakest was fiscal Q3 2023, with a drop of 50.75 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -76.50% (Q3 2026), -62.46% (Q2 2026) and -57.11% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.85% |
| 10 | Biomerica | 7.22 Mn | -1.02 Mn | -71,000.00 | -64.88% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -64.88% |
| Feb 28, 2026 | -76.50% |
| Nov 30, 2025 | -62.46% |
| Aug 31, 2025 | -57.11% |
| May 31, 2025 | -74.66% |
| Feb 28, 2025 | -66.21% |
| Nov 30, 2024 | -74.02% |
| Aug 31, 2024 | -71.97% |
| May 31, 2024 | -61.01% |
| Feb 29, 2024 | -57.27% |
| Nov 30, 2023 | -48.55% |
| Aug 31, 2023 | -44.81% |
| May 31, 2023 | -63.01% |
| Feb 28, 2023 | -78.45% |
| Nov 30, 2022 | -53.07% |
| Aug 31, 2022 | -45.13% |
| May 31, 2022 | -31.32% |
| Feb 28, 2022 | -27.70% |
| Nov 30, 2021 | -49.41% |
| Aug 31, 2021 | -60.82% |
Biomerica Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=BMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();