Biomerica (BMRA) Operating Margin (2010 - 2026)
Biomerica's Operating Margin was -97.00% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 15.98 percentage points from -81.01% a year earlier but up 78.20 percentage points from the prior quarter.
Biomerica (BMRA) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Biomerica's Operating Margin was -125.22% through Aug 31, 2026, down 25.20 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at -119.47%, down 22.75 percentage points from FY2025.
- Operating Margin shows a five-year change of -15.29 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was -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).
- Quarterly Operating Margin has moved between -208.81% (fiscal Q4 2025) and -1.40% (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in three of the last eight quarters, with an average year-over-year change of -0.66 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2022 (a gain of 130.27 percentage points); the worst was fiscal Q3 2023 (a drop of 147.20 percentage points).
- Per Business Quant data, BMRA's Operating Margin in the three fiscal quarters before Q1 2027 was -175.20% (Q4 2026), -131.51% (Q3 2026) and -113.47% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.30 Bn | 237.32 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 172.83 Bn | 143.26 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 163.15 Bn | 146.95 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 151.19 Bn | 130.61 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 118.80 Bn | 84.05 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 113.22 Bn | 99.34 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 64.95 Bn | 59.71 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 53.34 Bn | 50.49 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.73 Bn | 34.74 Bn | 1.35 Bn | 29.48% |
| 10 | Biomerica | 5.64 Mn | -2.28 Mn | 103,000.00 | -97.00% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -97.00% |
| 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% |
Biomerica Operating Margin 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=operating-margin&ticker=BMRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();