Aethlon Medical (AEMD) Operating Expenses (2010 - 2026)
Aethlon Medical (AEMD) posted Operating Expenses of $1.58 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.9% from $1.79 million a year earlier and down 18.1% from the prior quarter.
Aethlon Medical (AEMD) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Aethlon Medical was $7.08 million, down 16.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $7.29 million, down 21.9% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- In prior fiscal years, Aethlon Medical's Operating Expenses was $9.34 million in FY2025 (-26.1%), $12.64 million in FY2024 (+1.3%), $12.47 million in FY2023 (+16.4%) and $10.72 million in FY2022 (+25.3%).
- Quarterly Operating Expenses has run from a low of $1.51 million in fiscal Q2 2026 to a high of $3.8 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 19.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2023, with growth of 71.2%; the weakest was fiscal Q3 2025, with a decline of 49.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.93 million (Q4 2026), $2.06 million (Q3 2026) and $1.51 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Aethlon Medical | 2.45 Mn | 2.45 Mn | - | 1.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 2.06 Mn |
| Sep 30, 2025 | 1.51 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 2.62 Mn |
| Mar 31, 2024 | 2.49 Mn |
| Dec 31, 2023 | 3.57 Mn |
| Sep 30, 2023 | 3.18 Mn |
| Jun 30, 2023 | 3.41 Mn |
| Mar 31, 2023 | 3.05 Mn |
| Dec 31, 2022 | 2.85 Mn |
| Sep 30, 2022 | 3.67 Mn |
| Jun 30, 2022 | 2.91 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 2.55 Mn |
| Sep 30, 2021 | 2.14 Mn |
Aethlon Medical 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=operating-expenses&ticker=AEMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();