Electromed (ELMD) Receivables (2009 - 2026)
Electromed (ELMD) recorded Receivables of $1.61 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.7% from $1.47 million a year earlier but down 94.5% from the prior quarter.
Electromed (ELMD) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Electromed reported Receivables of $30.9 million, up 20.2% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $25.7 million in FY2025 (+6.8%), $24.05 million in FY2024 (-2.3%), $24.62 million in FY2023 (+15.4%) and $21.34 million in FY2022 (+22.5%).
- Quarterly Receivables has ranged from $1.47 million in fiscal Q4 2025 to $29.34 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 29.5% in fiscal Q1 2022, against a decline of 93.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $29.34 million (Q3 2026), $27.41 million (Q2 2026) and $25.93 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.79 Bn |
| 10 | Electromed | 225.19 Mn | 158.09 Mn | 14.94 Mn | 31.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.29 Mn |
| Jun 30, 2026 | 1.61 Mn |
| Mar 31, 2026 | 29.34 Mn |
| Dec 31, 2025 | 27.41 Mn |
| Sep 30, 2025 | 25.93 Mn |
| Jun 30, 2025 | 25.70 Mn |
| Mar 31, 2025 | 24.57 Mn |
| Dec 31, 2024 | 23.77 Mn |
| Sep 30, 2024 | 23.12 Mn |
| Jun 30, 2024 | 24.05 Mn |
| Mar 31, 2024 | 24.55 Mn |
| Dec 31, 2023 | 23.56 Mn |
| Sep 30, 2023 | 24.00 Mn |
| Jun 30, 2023 | 24.62 Mn |
| Mar 31, 2023 | 22.92 Mn |
| Dec 31, 2022 | 22.06 Mn |
| Sep 30, 2022 | 21.41 Mn |
| Jun 30, 2022 | 21.34 Mn |
| Mar 31, 2022 | 19.91 Mn |
| Dec 31, 2021 | 19.40 Mn |
Electromed Receivables 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=receivables&ticker=ELMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();