Electromed (ELMD) EBITDA (2010 - 2026)
Electromed (ELMD) reported EBITDA of $4.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.2% from $3.44 million a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
Electromed (ELMD) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Electromed posted EBITDA of $14.96 million, up 38.1% from FY2025.
- EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 31.9% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $10.83 million in FY2025 (+45.9%), $7.42 million in FY2024 (+60.6%), $4.62 million in FY2023 (+28.4%) and $3.6 million in FY2022 (-4.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Year over year, EBITDA has now increased in each of the last 15 quarters, with growth averaging 91.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2025 (growth of 506.2%); the low point was fiscal Q1 2023 (a decline of 71.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.05 million (Q3 2026), $3.88 million (Q2 2026) and $2.93 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | 4.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.10 Mn |
| Mar 31, 2026 | 4.05 Mn |
| Dec 31, 2025 | 3.88 Mn |
| Sep 30, 2025 | 2.93 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | 2.42 Mn |
| Dec 31, 2024 | 2.81 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 2.05 Mn |
| Dec 31, 2023 | 2.47 Mn |
| Sep 30, 2023 | 356,000.00 |
| Jun 30, 2023 | 1.69 Mn |
| Mar 31, 2023 | 1.30 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 198,000.00 |
| Jun 30, 2022 | 650,000.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.22 Mn |
| Sep 30, 2021 | 696,000.00 |
API Access
Electromed EBITDA 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=ebitda&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();