Electromed (ELMD) Total Liabilities (2011 - 2026)
Electromed (ELMD) reported Total Liabilities of $12.29 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 16.0% from $10.59 million a year earlier and up 19.2% from the prior quarter.
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Analysis
Electromed (ELMD) Total Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Electromed's Total Liabilities record includes 61 quarters.
- Total Liabilities has a five-year compound annual growth rate of 21.2% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $10.59 million in FY2025 (+37.8%), $7.69 million in FY2024 (-5.5%), $8.14 million in FY2023 (+13.2%) and $7.19 million in FY2022 (+53.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Year over year, Total Liabilities has now increased in each of the last eight quarters, with growth averaging 24.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 59.9%); the low point was fiscal Q4 2024 (a decline of 5.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $10.31 million (Q3 2026), $9.47 million (Q2 2026) and $8.87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | 12.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.29 Mn |
| Mar 31, 2026 | 10.31 Mn |
| Dec 31, 2025 | 9.47 Mn |
| Sep 30, 2025 | 8.87 Mn |
| Jun 30, 2025 | 10.59 Mn |
| Mar 31, 2025 | 8.51 Mn |
| Dec 31, 2024 | 8.67 Mn |
| Sep 30, 2024 | 7.43 Mn |
| Jun 30, 2024 | 7.69 Mn |
| Mar 31, 2024 | 6.36 Mn |
| Dec 31, 2023 | 6.62 Mn |
| Sep 30, 2023 | 5.84 Mn |
| Jun 30, 2023 | 8.14 Mn |
| Mar 31, 2023 | 6.45 Mn |
| Dec 31, 2022 | 6.04 Mn |
| Sep 30, 2022 | 5.99 Mn |
| Jun 30, 2022 | 7.19 Mn |
| Mar 31, 2022 | 5.01 Mn |
| Dec 31, 2021 | 4.72 Mn |
| Sep 30, 2021 | 4.86 Mn |
API Access
Electromed Total 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-liabilities&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();