Applied Optoelectronics (AAOI) Research & Development (2012 - 2026)
Applied Optoelectronics (AAOI) posted Research & Development of $34.87 million for Q2 2026, up 69.2% from $20.61 million a year earlier and up 35.9% from the prior quarter.
Applied Optoelectronics (AAOI) Research & Development (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Applied Optoelectronics was $107.61 million, up 56.9% year-over-year; for FY2025, it was $85.51 million, up 55.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In prior years, Applied Optoelectronics' Research & Development was $54.96 million in FY2024 (+52.8%), $35.98 million in FY2023 (-0.7%), $36.24 million in FY2022 (-12.1%) and $41.22 million in FY2021 (-5.0%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q3 2012.
- On a year-over-year basis, Research & Development has increased in each of the last 13 quarters, with growth averaging 57.1% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2024, with growth of 79.2%; the weakest was Q2 2022, with a decline of 23.7%.
- According to Business Quant data, Research & Development for the three prior quarters was $25.66 million (Q1 2026), $25.82 million (Q4 2025) and $21.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 188.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 284.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 1.16 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 34.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.87 Mn |
| Mar 31, 2026 | 25.66 Mn |
| Dec 31, 2025 | 25.82 Mn |
| Sep 30, 2025 | 21.27 Mn |
| Jun 30, 2025 | 20.61 Mn |
| Mar 31, 2025 | 17.81 Mn |
| Dec 31, 2024 | 16.74 Mn |
| Sep 30, 2024 | 13.43 Mn |
| Jun 30, 2024 | 13.08 Mn |
| Mar 31, 2024 | 11.71 Mn |
| Dec 31, 2023 | 9.34 Mn |
| Sep 30, 2023 | 9.46 Mn |
| Jun 30, 2023 | 8.64 Mn |
| Mar 31, 2023 | 8.54 Mn |
| Dec 31, 2022 | 9.22 Mn |
| Sep 30, 2022 | 9.21 Mn |
| Jun 30, 2022 | 8.33 Mn |
| Mar 31, 2022 | 9.49 Mn |
| Dec 31, 2021 | 9.23 Mn |
| Sep 30, 2021 | 10.15 Mn |
Applied Optoelectronics Research & Development 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=research-and-development&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();