Applied Optoelectronics (AAOI) Assets (2012 - 2026)
Applied Optoelectronics (AAOI) posted Assets of $2.3 billion for Q2 2026, up 188.8% from $796.85 million a year earlier and up 47.0% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics' Assets came in at $1.17 billion, up 113.6% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In prior years, Applied Optoelectronics' Assets was $547.03 million in FY2024 (+40.6%), $389.19 million in FY2023 (-4.7%), $408.26 million in FY2022 (-10.2%) and $454.46 million in FY2021 (-5.5%).
- The Q2 2026 figure stands as the highest quarterly Assets in data going back to Q4 2012.
- On a year-over-year basis, Assets has increased in each of the last eight quarters, with growth averaging 105.9% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q2 2026, with growth of 188.8%; the weakest was Q2 2023, with a decline of 17.9%.
- According to Business Quant data, Assets for the three prior quarters was $1.57 billion (Q1 2026), $1.17 billion (Q4 2025) and $978.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 383.27 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 129.64 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 127.39 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 23.72 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 22.51 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 9.97 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 13.86 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 100.68 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 83.60 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 2.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Bn |
| Mar 31, 2026 | 1.57 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 978.53 Mn |
| Jun 30, 2025 | 796.85 Mn |
| Mar 31, 2025 | 644.67 Mn |
| Dec 31, 2024 | 547.03 Mn |
| Sep 30, 2024 | 409.97 Mn |
| Jun 30, 2024 | 348.04 Mn |
| Mar 31, 2024 | 350.92 Mn |
| Dec 31, 2023 | 389.19 Mn |
| Sep 30, 2023 | 373.79 Mn |
| Jun 30, 2023 | 356.88 Mn |
| Mar 31, 2023 | 383.55 Mn |
| Dec 31, 2022 | 408.26 Mn |
| Sep 30, 2022 | 414.34 Mn |
| Jun 30, 2022 | 434.76 Mn |
| Mar 31, 2022 | 446.75 Mn |
| Dec 31, 2021 | 454.46 Mn |
| Sep 30, 2021 | 462.52 Mn |
API Access
Applied Optoelectronics Assets 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=assets&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();