Aethlon Medical (AEMD) Other Operating Expenses (2010 - 2026)
Aethlon Medical's Other Operating Expenses came in at $333,569 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 29.9% from $476,032 a year earlier and down 45.0% from the prior quarter.
Aethlon Medical (AEMD) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aethlon Medical reported Other Operating Expenses of $1.67 million, down 20.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.81 million, down 18.7% from FY2025.
- Other Operating Expenses has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -7.3% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $2.22 million in FY2025 (-36.9%), $3.53 million in FY2024 (-0.6%), $3.55 million in FY2023 (+34.7%) and $2.63 million in FY2022 (-0.1%).
- The five-year range for quarterly Other Operating Expenses is $333,042 (fiscal Q3 2026) to $1.13 million (fiscal Q2 2024).
- Year-over-year, Other Operating Expenses has declined for 11 consecutive quarters, with an average decline of 26.0% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q3 2023 (growth of 68.4%), and the weakest in fiscal Q2 2025 (a decline of 49.6%).
- Business Quant data shows AEMD's Other Operating Expenses at $606,311 (Q4 2026), $333,042 (Q3 2026) and $393,796 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Aethlon Medical | 1.96 Mn | -21.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 916,752.00 |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 988,407.00 |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 998,364.00 |
| Sep 30, 2024 | 1.94 Mn |
| Jun 30, 2024 | 1.87 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 2.59 Mn |
| Sep 30, 2023 | 2.32 Mn |
| Jun 30, 2023 | 2.10 Mn |
| Mar 31, 2023 | 2.22 Mn |
| Dec 31, 2022 | 1.78 Mn |
| Sep 30, 2022 | 2.12 Mn |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | 2.77 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 1.46 Mn |
Aethlon Medical Other Operating Expenses 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=other-operating-expenses&ticker=AEMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();