Biomerica (BMRA) Non-Current Assets (2011 - 2026)
Biomerica (BMRA) recorded Non-Current Assets of $2.66 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 178.7% from $955,000 a year earlier but down 3.0% from the prior quarter.
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Analysis
Biomerica (BMRA) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Biomerica reported Non-Current Assets of $2.74 million, up 156.4% from FY2025.
- Annual Non-Current Assets has a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $1.07 million in FY2025 (-29.7%), $1.52 million in FY2024 (-8.1%), $1.66 million in FY2023 (-14.9%) and $1.95 million in FY2022 (-24.8%).
- Quarterly Non-Current Assets has ranged from $755,000 in fiscal Q3 2026 to $2.74 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in two of the last eight quarters, with growth averaging 20.4%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 178.7% in fiscal Q1 2027, against a decline of 36.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.74 million (Q4 2026), $755,000 (Q3 2026) and $843,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Biomerica | 5.64 Mn | -2.28 Mn | 103,000.00 | 2.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.66 Mn |
| May 31, 2026 | 2.74 Mn |
| Feb 28, 2026 | 755,000.00 |
| Nov 30, 2025 | 843,000.00 |
| Aug 31, 2025 | 955,000.00 |
| May 31, 2025 | 1.07 Mn |
| Feb 28, 2025 | 1.17 Mn |
| Nov 30, 2024 | 1.33 Mn |
| Aug 31, 2024 | 1.43 Mn |
| May 31, 2024 | 1.52 Mn |
| Feb 29, 2024 | 1.50 Mn |
| Nov 30, 2023 | 1.57 Mn |
| Aug 31, 2023 | 1.65 Mn |
| May 31, 2023 | 1.66 Mn |
| Feb 28, 2023 | 1.73 Mn |
| Nov 30, 2022 | 1.81 Mn |
| Aug 31, 2022 | 1.88 Mn |
| May 31, 2022 | 1.95 Mn |
| Feb 28, 2022 | 2.33 Mn |
| Nov 30, 2021 | 2.41 Mn |
API Access
Biomerica Non-Current Assets 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=non-current-assets&ticker=BMRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();