Applied Optoelectronics (AAOI) Non-Current Assets (2012 - 2026)
Applied Optoelectronics' Non-Current Assets was $1.11 billion in Q2 2026, up 228.3% from $338.51 million a year earlier and up 93.8% from the prior quarter.
Applied Optoelectronics (AAOI) Non-Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Applied Optoelectronics came in at $492.7 million, up 100.5% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $245.76 million in FY2024 (+13.5%), $216.58 million in FY2023 (-3.8%), $225.1 million in FY2022 (-13.5%) and $260.38 million in FY2021 (-4.1%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2012.
- Compared with a year earlier, Non-Current Assets has increased for nine straight quarters, with growth averaging 77.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2026 (growth of 228.3%); the worst was Q4 2022 (a decline of 13.5%).
- Per Business Quant data, AAOI's Non-Current Assets in the three quarters before Q2 2026 was $573.3 million (Q1 2026), $492.7 million (Q4 2025) and $403.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 233.45 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 90.97 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 46.85 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 3.56 Bn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 9.73 Bn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 4.75 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 8.23 Bn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | 62.27 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 3.15 Bn |
| 10 | Applied Optoelectronics | 8.50 Bn | 7.21 Bn | 53.21 Mn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 573.30 Mn |
| Dec 31, 2025 | 492.70 Mn |
| Sep 30, 2025 | 403.22 Mn |
| Jun 30, 2025 | 338.51 Mn |
| Mar 31, 2025 | 285.83 Mn |
| Dec 31, 2024 | 245.76 Mn |
| Sep 30, 2024 | 221.61 Mn |
| Jun 30, 2024 | 215.07 Mn |
| Mar 31, 2024 | 217.28 Mn |
| Dec 31, 2023 | 216.58 Mn |
| Sep 30, 2023 | 209.39 Mn |
| Jun 30, 2023 | 212.33 Mn |
| Mar 31, 2023 | 222.02 Mn |
| Dec 31, 2022 | 225.10 Mn |
| Sep 30, 2022 | 226.54 Mn |
| Jun 30, 2022 | 240.34 Mn |
| Mar 31, 2022 | 253.51 Mn |
| Dec 31, 2021 | 260.38 Mn |
| Sep 30, 2021 | 261.95 Mn |
Applied Optoelectronics Non-Current 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=non-current-assets&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();