Electromed (ELMD) Current Assets (2009 - 2026)
Electromed (ELMD) reported Current Assets of $57.37 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 27.3% from $45.08 million a year earlier and up 14.2% from the prior quarter.
Electromed (ELMD) Current Assets (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Electromed's Current Assets record includes 61 quarters.
- Current Assets has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- By fiscal year, Current Assets came in at $45.08 million in FY2025 (+2.1%), $44.17 million in FY2024 (+16.9%), $37.79 million in FY2023 (+9.4%) and $34.54 million in FY2022 (+8.9%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Current Assets in data going back to fiscal Q4 2011.
- Year over year, Current Assets has now increased in each of the last 46 quarters, with growth averaging 10.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Current Assets ranged from 2.1% (fiscal Q4 2025) to 27.3% (fiscal Q4 2026).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $50.23 million (Q3 2026), $45.57 million (Q2 2026) and $44.56 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 25.62 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 23.50 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 14.79 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 8.43 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 14.18 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 8.16 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 7.25 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 12.65 Bn |
| 10 | Electromed | 225.19 Mn | 158.09 Mn | 14.94 Mn | 52.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.19 Mn |
| Jun 30, 2026 | 57.37 Mn |
| Mar 31, 2026 | 50.23 Mn |
| Dec 31, 2025 | 45.57 Mn |
| Sep 30, 2025 | 44.56 Mn |
| Jun 30, 2025 | 45.08 Mn |
| Mar 31, 2025 | 44.20 Mn |
| Dec 31, 2024 | 44.19 Mn |
| Sep 30, 2024 | 41.01 Mn |
| Jun 30, 2024 | 44.17 Mn |
| Mar 31, 2024 | 41.32 Mn |
| Dec 31, 2023 | 39.27 Mn |
| Sep 30, 2023 | 36.20 Mn |
| Jun 30, 2023 | 37.79 Mn |
| Mar 31, 2023 | 35.17 Mn |
| Dec 31, 2022 | 34.16 Mn |
| Sep 30, 2022 | 33.22 Mn |
| Jun 30, 2022 | 34.54 Mn |
| Mar 31, 2022 | 32.99 Mn |
| Dec 31, 2021 | 32.45 Mn |
Electromed Current Assets 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=current-assets&ticker=ELMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();