Applied Optoelectronics (AAOI) Prepaid Assets (2012 - 2026)
Applied Optoelectronics (AAOI) reported Prepaid Assets of $88.32 million for Q2 2026, up 324.1% from $20.82 million a year earlier and up 132.7% from the prior quarter.
Applied Optoelectronics (AAOI) Prepaid Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics posted Prepaid Assets of $32.18 million, up 87.1% from FY2024.
- Prepaid Assets has a five-year compound annual growth rate of 43.9% (FY2020 to FY2025).
- By year, Prepaid Assets came in at $17.2 million in FY2024 (+221.5%), $5.35 million in FY2023 (-16.2%), $6.38 million in FY2022 (+47.3%) and $4.33 million in FY2021 (-16.9%).
- The Q2 2026 figure ranks as the highest quarterly Prepaid Assets in data going back to Q4 2012.
- Year over year, Prepaid Assets has now increased in each of the last eight quarters, with growth averaging 228.1% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was Q2 2025 (growth of 370.2%); the low point was Q3 2021 (a decline of 46.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.96 million (Q1 2026), $32.18 million (Q4 2025) and $30.35 million (Q3 2025).
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 | 88.32 Mn |
| Mar 31, 2026 | 37.96 Mn |
| Dec 31, 2025 | 32.18 Mn |
| Sep 30, 2025 | 30.35 Mn |
| Jun 30, 2025 | 20.82 Mn |
| Mar 31, 2025 | 18.62 Mn |
| Dec 31, 2024 | 17.20 Mn |
| Sep 30, 2024 | 7.41 Mn |
| Jun 30, 2024 | 4.43 Mn |
| Mar 31, 2024 | 4.08 Mn |
| Dec 31, 2023 | 5.35 Mn |
| Sep 30, 2023 | 4.87 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 6.52 Mn |
| Dec 31, 2022 | 6.38 Mn |
| Sep 30, 2022 | 6.13 Mn |
| Jun 30, 2022 | 6.24 Mn |
| Mar 31, 2022 | 5.71 Mn |
| Dec 31, 2021 | 4.33 Mn |
| Sep 30, 2021 | 4.72 Mn |
Applied Optoelectronics Prepaid 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=prepaid-assets&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();