Aethlon Medical (AEMD) Total Liabilities (2010 - 2026)
Aethlon Medical (AEMD) recorded Total Liabilities of $1.28 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 18.9% from $1.58 million a year earlier but up 23.4% from the prior quarter.
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Analysis
Aethlon Medical (AEMD) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Aethlon Medical reported Total Liabilities of $1.45 million, down 35.3% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $2.24 million in FY2025 (-9.8%), $2.48 million in FY2024 (+1.4%), $2.44 million in FY2023 (+0.7%) and $2.43 million in FY2022 (+76.4%).
- Quarterly Total Liabilities has ranged from $1.04 million in fiscal Q1 2027 to $3.45 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for eight consecutive quarters, with an average decline of 30.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 226.3% in fiscal Q2 2023, against a decline of 45.0% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.04 million (Q1 2027), $1.45 million (Q4 2026) and $1.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Aethlon Medical | 5.33 Mn | -18.47 Mn | - | 1.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.28 Mn |
| Jun 30, 2026 | 1.04 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 1.34 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 2.19 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 2.83 Mn |
| Sep 30, 2023 | 2.51 Mn |
| Jun 30, 2023 | 2.69 Mn |
| Mar 31, 2023 | 2.44 Mn |
| Dec 31, 2022 | 3.45 Mn |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | 2.21 Mn |
| Mar 31, 2022 | 2.43 Mn |
| Dec 31, 2021 | 1.36 Mn |
API Access
Aethlon Medical 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=AEMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AEMD", "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=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();