Aethlon Medical (AEMD) Total Current Liabilities (2010 - 2026)
Aethlon Medical (AEMD) recorded Total Current Liabilities of $1.28 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 9.0% from $1.4 million a year earlier but up 23.4% from the prior quarter.
Aethlon Medical (AEMD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Aethlon Medical reported Total Current Liabilities of $1.45 million, down 23.8% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $1.9 million in FY2025 (+3.8%), $1.83 million in FY2024 (+21.6%), $1.51 million in FY2023 (-17.5%) and $1.82 million in FY2022 (+32.6%).
- Quarterly Total Current Liabilities has ranged from $1.04 million in fiscal Q1 2027 to $2.44 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for six consecutive quarters, with an average decline of 21.7% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 127.7% in fiscal Q3 2023, against a decline of 39.7% in fiscal Q2 2026 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 $1.26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Aethlon Medical | 5.33 Mn | -18.47 Mn | - | 1.28 Mn |
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 | 1.26 Mn |
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 2.33 Mn |
| Jun 30, 2024 | 2.13 Mn |
| Mar 31, 2024 | 1.83 Mn |
| Dec 31, 2023 | 2.10 Mn |
| Sep 30, 2023 | 1.71 Mn |
| Jun 30, 2023 | 1.82 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 2.44 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 1.64 Mn |
| Mar 31, 2022 | 1.82 Mn |
| Dec 31, 2021 | 1.07 Mn |
Aethlon Medical 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=AEMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();