Electromed (ELMD) Non-Current Assets (2011 - 2026)
Electromed (ELMD) recorded Non-Current Assets of $8.9 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.1% from $8.72 million a year earlier but down 3.8% from the prior quarter.
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Analysis
Electromed (ELMD) Non-Current Assets (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Electromed's Non-Current Assets history includes 61 quarters.
- Annual Non-Current Assets has increased for eight straight fiscal years, with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $8.72 million in FY2025 (+8.2%), $8.06 million in FY2024 (+0.5%), $8.02 million in FY2023 (+17.5%) and $6.83 million in FY2022 (+26.3%).
- Quarterly Non-Current Assets has ranged from $5.47 million in fiscal Q1 2022 to $9.34 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for nine consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 27.2% in fiscal Q3 2023, against a decline of 1.2% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.25 million (Q3 2026), $9.34 million (Q2 2026) and $9.06 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | 8.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.90 Mn |
| Mar 31, 2026 | 9.25 Mn |
| Dec 31, 2025 | 9.34 Mn |
| Sep 30, 2025 | 9.06 Mn |
| Jun 30, 2025 | 8.72 Mn |
| Mar 31, 2025 | 8.26 Mn |
| Dec 31, 2024 | 8.09 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 8.06 Mn |
| Mar 31, 2024 | 7.58 Mn |
| Dec 31, 2023 | 7.70 Mn |
| Sep 30, 2023 | 7.87 Mn |
| Jun 30, 2023 | 8.02 Mn |
| Mar 31, 2023 | 7.67 Mn |
| Dec 31, 2022 | 7.23 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Jun 30, 2022 | 6.83 Mn |
| Mar 31, 2022 | 6.03 Mn |
| Dec 31, 2021 | 5.75 Mn |
| Sep 30, 2021 | 5.47 Mn |
API Access
Electromed 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=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "ELMD", "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=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();