Electromed (ELMD) Total Current Liabilities (2011 - 2026)
Electromed's Total Current Liabilities came in at $12.22 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 16.8% from $10.47 million a year earlier and up 19.5% from the prior quarter.
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Analysis
Electromed (ELMD) Total Current Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Electromed's Total Current Liabilities data covers 61 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of 21.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $10.47 million in FY2025 (+36.4%), $7.68 million in FY2024 (-4.7%), $8.05 million in FY2023 (+12.6%) and $7.15 million in FY2022 (+54.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2011.
- Year-over-year, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2022 (growth of 54.1%), and the weakest in fiscal Q4 2024 (a decline of 4.7%).
- Business Quant data shows ELMD's Total Current Liabilities at $10.23 million (Q3 2026), $9.38 million (Q2 2026) and $8.76 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | 12.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.22 Mn |
| Mar 31, 2026 | 10.23 Mn |
| Dec 31, 2025 | 9.38 Mn |
| Sep 30, 2025 | 8.76 Mn |
| Jun 30, 2025 | 10.47 Mn |
| Mar 31, 2025 | 8.51 Mn |
| Dec 31, 2024 | 8.67 Mn |
| Sep 30, 2024 | 7.42 Mn |
| Jun 30, 2024 | 7.68 Mn |
| Mar 31, 2024 | 6.33 Mn |
| Dec 31, 2023 | 6.57 Mn |
| Sep 30, 2023 | 5.78 Mn |
| Jun 30, 2023 | 8.05 Mn |
| Mar 31, 2023 | 6.42 Mn |
| Dec 31, 2022 | 6.01 Mn |
| Sep 30, 2022 | 5.95 Mn |
| Jun 30, 2022 | 7.15 Mn |
| Mar 31, 2022 | 4.97 Mn |
| Dec 31, 2021 | 4.67 Mn |
| Sep 30, 2021 | 4.81 Mn |
API Access
Electromed Total Current Liabilities 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=total-current-liabilities&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();