Ainos (AIMD) Operating Expenses (2010 - 2026)
Ainos (AIMD) posted Operating Expenses of $4.4 million for Q2 2026, up 17.3% from $3.75 million a year earlier and up 92.7% from the prior quarter.
Powered by 
Analysis
Ainos (AIMD) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ainos was $13.78 million, down 6.1% year-over-year; for FY2025, it was $14.09 million, up 2.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 57.7% (FY2020 to FY2025).
- In prior years, Ainos' Operating Expenses was $13.81 million in FY2024 (+6.6%), $12.95 million in FY2023 (-15.8%), $15.38 million in FY2022 (+259.6%) and $4.28 million in FY2021 (+195.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 482.5%; the weakest was Q3 2023, with a decline of 68.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.28 million (Q1 2026), $4.31 million (Q4 2025) and $2.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 14.83 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Ainos | 6.48 Mn | 665,123.80 | 99.00 | 4.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Mn |
| Mar 31, 2026 | 2.28 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Sep 30, 2025 | 2.79 Mn |
| Jun 30, 2025 | 3.75 Mn |
| Mar 31, 2025 | 3.25 Mn |
| Dec 31, 2024 | 4.63 Mn |
| Sep 30, 2024 | 3.04 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Mar 31, 2024 | 3.11 Mn |
| Dec 31, 2023 | 5.59 Mn |
| Sep 30, 2023 | 2.61 Mn |
| Jun 30, 2023 | 2.29 Mn |
| Mar 31, 2023 | 2.46 Mn |
| Dec 31, 2022 | 2.59 Mn |
| Sep 30, 2022 | 8.40 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 1.44 Mn |
API Access
Ainos 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=AIMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AIMD", "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=AIMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();