Aethlon Medical (AEMD) Accounts Payables (2011 - 2026)
Aethlon Medical (AEMD) reported Accounts Payables of $411,373 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 28.0% from $571,495 a year earlier but up 7.0% from the prior quarter.
Aethlon Medical (AEMD) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Aethlon Medical posted Accounts Payables of $384,550, down 28.1% from FY2025.
- Accounts Payables has a five-year compound annual growth rate of 2.6% (FY2021 to FY2026).
- By fiscal year, Accounts Payables came in at $534,524 in FY2025 (-31.3%), $777,862 in FY2024 (+79.7%), $432,889 in FY2023 (-13.4%) and $499,962 in FY2022 (+48.1%).
- Five-year quarterly Accounts Payables spans a low of $226,791 in fiscal Q3 2023 and a high of $1.07 million in fiscal Q1 2025.
- Year over year, Accounts Payables has now declined in each of the last seven quarters, with an average decline of 21.5% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was fiscal Q3 2024 (growth of 205.6%); the low point was fiscal Q1 2026 (a decline of 46.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $384,550 (Q4 2026), $469,452 (Q3 2026) and $570,792 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Aethlon Medical | 2.45 Mn | 2.45 Mn | - | 411,373.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 411,373.00 |
| Mar 31, 2026 | 384,550.00 |
| Dec 31, 2025 | 469,452.00 |
| Sep 30, 2025 | 570,792.00 |
| Jun 30, 2025 | 571,495.00 |
| Mar 31, 2025 | 534,524.00 |
| Dec 31, 2024 | 610,909.00 |
| Sep 30, 2024 | 922,888.00 |
| Jun 30, 2024 | 1.07 Mn |
| Mar 31, 2024 | 777,862.00 |
| Dec 31, 2023 | 693,154.00 |
| Sep 30, 2023 | 684,942.00 |
| Jun 30, 2023 | 844,536.00 |
| Mar 31, 2023 | 432,889.00 |
| Dec 31, 2022 | 226,791.00 |
| Sep 30, 2022 | 361,001.00 |
| Jun 30, 2022 | 439,745.00 |
| Mar 31, 2022 | 499,962.00 |
| Dec 31, 2021 | 234,118.00 |
| Sep 30, 2021 | 254,176.00 |
Aethlon Medical Accounts Payables 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=accounts-payables&ticker=AEMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();