Electromed (ELMD) Cost of Revenue (2010 - 2026)
Electromed (ELMD) reported Cost of Revenue of $4.13 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.7% from $3.77 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Electromed (ELMD) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Electromed posted Cost of Revenue of $15.83 million, up 12.9% from FY2025.
- Cost of Revenue has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.4% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $14.03 million in FY2025 (+8.0%), $12.99 million in FY2024 (+12.5%), $11.55 million in FY2023 (+13.0%) and $10.22 million in FY2022 (+20.9%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 10.7% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2023 (growth of 28.7%); the low point was fiscal Q3 2025 (a decline of 1.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.93 million (Q3 2026), $4.08 million (Q2 2026) and $3.69 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Electromed | 234.67 Mn | 169.33 Mn | 15.28 Mn | 4.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Mn |
| Mar 31, 2026 | 3.93 Mn |
| Dec 31, 2025 | 4.08 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.77 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 3.63 Mn |
| Sep 30, 2024 | 3.18 Mn |
| Jun 30, 2024 | 3.53 Mn |
| Mar 31, 2024 | 3.49 Mn |
| Dec 31, 2023 | 3.14 Mn |
| Sep 30, 2023 | 2.83 Mn |
| Jun 30, 2023 | 3.16 Mn |
| Mar 31, 2023 | 3.01 Mn |
| Dec 31, 2022 | 3.05 Mn |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 3.15 Mn |
| Mar 31, 2022 | 2.40 Mn |
| Dec 31, 2021 | 2.37 Mn |
| Sep 30, 2021 | 2.30 Mn |
API Access
Electromed Cost of Revenue 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=cost-of-revenue&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();