Electromed (ELMD) Property, Plant & Equipment (Net) (2011 - 2026)
Electromed (ELMD) reported Property, Plant & Equipment (Net) of $5.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.6% from $4.71 million a year earlier and up 0.1% from the prior quarter.
Electromed (ELMD) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Electromed's Property, Plant & Equipment (Net) record includes 61 quarters.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 7.7% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $4.71 million in FY2025 (-8.7%), $5.17 million in FY2024 (-8.9%), $5.67 million in FY2023 (+24.2%) and $4.57 million in FY2022 (+26.7%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $3.72 million in fiscal Q1 2022 and a high of $5.67 million in fiscal Q4 2023.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with an average decline of 1.5%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q3 2023 (growth of 27.7%); the low point was fiscal Q1 2025 (a decline of 9.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $5.21 million (Q3 2026), $5.22 million (Q2 2026) and $4.98 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Electromed | 234.67 Mn | 169.33 Mn | 15.28 Mn | 5.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.21 Mn |
| Mar 31, 2026 | 5.21 Mn |
| Dec 31, 2025 | 5.22 Mn |
| Sep 30, 2025 | 4.98 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 5.22 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | 5.28 Mn |
| Dec 31, 2023 | 5.38 Mn |
| Sep 30, 2023 | 5.53 Mn |
| Jun 30, 2023 | 5.67 Mn |
| Mar 31, 2023 | 5.50 Mn |
| Dec 31, 2022 | 5.04 Mn |
| Sep 30, 2022 | 4.68 Mn |
| Jun 30, 2022 | 4.57 Mn |
| Mar 31, 2022 | 4.31 Mn |
| Dec 31, 2021 | 4.03 Mn |
| Sep 30, 2021 | 3.72 Mn |
Electromed Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ELMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();