Electromed (ELMD) Amortizatization of Intangibles (2010 - 2026)
Electromed's Amortizatization of Intangibles was $46,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 119.0% from $21,000 a year earlier but down 36.1% from the prior quarter.
Powered by 
Analysis
Electromed (ELMD) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amortizatization of Intangibles at Electromed came in at $208,000, up 56.4% from FY2025.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- In earlier fiscal years, Amortizatization of Intangibles was $133,000 in FY2025 (+155.8%), $52,000 in FY2024 (-17.5%), $63,000 in FY2023 (-49.6%) and $125,000 in FY2022 (-6.0%).
- Quarterly Amortizatization of Intangibles has moved between $5,000 (fiscal Q3 2023) and $72,000 (fiscal Q3 2026) over five years.
- Compared with a year earlier, Amortizatization of Intangibles was higher in seven of the last eight quarters, with growth averaging 123.8%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was fiscal Q2 2025 (growth of 361.5%); the worst was fiscal Q3 2023 (a decline of 80.8%).
- Per Business Quant data, ELMD's Amortizatization of Intangibles in the three fiscal quarters before Q4 2026 was $72,000 (Q3 2026), $45,000 (Q2 2026) and $45,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Electromed | 234.67 Mn | 169.33 Mn | 15.28 Mn | 46,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46,000.00 |
| Mar 31, 2026 | 72,000.00 |
| Dec 31, 2025 | 45,000.00 |
| Sep 30, 2025 | 45,000.00 |
| Jun 30, 2025 | 21,000.00 |
| Mar 31, 2025 | 34,000.00 |
| Dec 31, 2024 | 60,000.00 |
| Sep 30, 2024 | 18,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 12,000.00 |
| Dec 31, 2023 | 13,000.00 |
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | 11,000.00 |
| Mar 31, 2023 | 5,000.00 |
| Dec 31, 2022 | 27,000.00 |
| Sep 30, 2022 | 20,000.00 |
| Jun 30, 2022 | 20,000.00 |
| Mar 31, 2022 | 26,000.00 |
| Dec 31, 2021 | 27,000.00 |
| Sep 30, 2021 | 52,000.00 |
API Access
Electromed Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();