Electromed (ELMD) Cash & Equivalents (2010 - 2026)
Electromed's Cash & Equivalents was $20.45 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 33.8% from $15.29 million a year earlier and up 20.4% from the prior quarter.
Electromed (ELMD) Cash & Equivalents (2010 - 2026) Analysis & Trends
From fiscal Q1 2011 onward, Electromed has reported Cash & Equivalents for 64 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $15.29 million in FY2025 (-4.9%), $16.08 million in FY2024 (+118.1%), $7.37 million in FY2023 (-9.6%) and $8.15 million in FY2022 (-31.4%).
- The fiscal Q4 2026 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 26.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2024 (growth of 118.1%); the worst was fiscal Q1 2023 (a decline of 45.4%).
- Per Business Quant data, ELMD's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $16.99 million (Q3 2026), $13.79 million (Q2 2026) and $14.11 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Electromed | 234.67 Mn | 169.33 Mn | 15.28 Mn | 20.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.45 Mn |
| Mar 31, 2026 | 16.99 Mn |
| Dec 31, 2025 | 13.79 Mn |
| Sep 30, 2025 | 14.11 Mn |
| Jun 30, 2025 | 15.29 Mn |
| Mar 31, 2025 | 15.24 Mn |
| Dec 31, 2024 | 16.24 Mn |
| Sep 30, 2024 | 13.86 Mn |
| Jun 30, 2024 | 16.08 Mn |
| Mar 31, 2024 | 11.71 Mn |
| Dec 31, 2023 | 10.43 Mn |
| Sep 30, 2023 | 7.02 Mn |
| Jun 30, 2023 | 7.37 Mn |
| Mar 31, 2023 | 6.78 Mn |
| Dec 31, 2022 | 6.91 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 8.15 Mn |
| Mar 31, 2022 | 9.84 Mn |
| Dec 31, 2021 | 10.47 Mn |
| Sep 30, 2021 | 10.98 Mn |
Electromed Cash & Equivalents 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=cash-and-equivalents&ticker=ELMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();