Electromed (ELMD) Operating Expenses (2010 - 2026)
Electromed's Operating Expenses was $11.46 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.3% from $10.58 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Electromed (ELMD) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Electromed came in at $44.06 million, up 9.3% from FY2025.
- Operating Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $40.31 million in FY2025 (+14.7%), $35.15 million in FY2024 (+8.1%), $32.51 million in FY2023 (+14.2%) and $28.47 million in FY2022 (+17.8%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Operating Expenses has increased for 24 straight quarters, with growth averaging 12.2% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.1% (fiscal Q4 2024) and 30.6% (fiscal Q1 2022) over the last five years.
- Per Business Quant data, ELMD's Operating Expenses in the three fiscal quarters before Q4 2026 was $10.88 million (Q3 2026), $11.2 million (Q2 2026) and $10.53 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | 11.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.46 Mn |
| Mar 31, 2026 | 10.88 Mn |
| Dec 31, 2025 | 11.20 Mn |
| Sep 30, 2025 | 10.53 Mn |
| Jun 30, 2025 | 10.58 Mn |
| Mar 31, 2025 | 10.09 Mn |
| Dec 31, 2024 | 10.09 Mn |
| Sep 30, 2024 | 9.55 Mn |
| Jun 30, 2024 | 8.97 Mn |
| Mar 31, 2024 | 8.54 Mn |
| Dec 31, 2023 | 8.28 Mn |
| Sep 30, 2023 | 9.36 Mn |
| Jun 30, 2023 | 8.96 Mn |
| Mar 31, 2023 | 7.86 Mn |
| Dec 31, 2022 | 7.41 Mn |
| Sep 30, 2022 | 8.29 Mn |
| Jun 30, 2022 | 7.62 Mn |
| Mar 31, 2022 | 6.88 Mn |
| Dec 31, 2021 | 6.80 Mn |
| Sep 30, 2021 | 7.16 Mn |
API Access
Electromed Operating Expenses 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-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();