Applied Optoelectronics (AAOI) Other Operating Expenses (2012 - 2026)
Applied Optoelectronics' Other Operating Expenses came in at $11.49 million for Q2 2026, up 41.2% from $8.14 million a year earlier and up 81.0% from the prior quarter.
Applied Optoelectronics (AAOI) Other Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Applied Optoelectronics reported Other Operating Expenses of $34.61 million, up 57.8% year-over-year; for FY2025, it came in at $30.27 million, up 66.7% from FY2024.
- Other Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $18.15 million in FY2024 (+64.0%), $11.07 million in FY2023 (+13.8%), $9.72 million in FY2022 (-10.8%) and $10.9 million in FY2021 (-22.6%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q3 2012.
- Year-over-year, Other Operating Expenses has increased for 13 consecutive quarters, with growth averaging 49.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2024 (growth of 160.5%), and the weakest in Q3 2021 (a decline of 38.0%).
- Business Quant data shows AAOI's Other Operating Expenses at $6.35 million (Q1 2026), $6.9 million (Q4 2025) and $9.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.49 Mn |
| Mar 31, 2026 | 6.35 Mn |
| Dec 31, 2025 | 6.90 Mn |
| Sep 30, 2025 | 9.87 Mn |
| Jun 30, 2025 | 8.14 Mn |
| Mar 31, 2025 | 5.36 Mn |
| Dec 31, 2024 | 3.65 Mn |
| Sep 30, 2024 | 4.80 Mn |
| Jun 30, 2024 | 5.91 Mn |
| Mar 31, 2024 | 3.80 Mn |
| Dec 31, 2023 | 3.44 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 2.27 Mn |
| Mar 31, 2023 | 2.33 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 2.16 Mn |
| Mar 31, 2022 | 2.56 Mn |
| Dec 31, 2021 | 2.32 Mn |
| Sep 30, 2021 | 2.78 Mn |
Applied Optoelectronics 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=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "AAOI", "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=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();