Applied Optoelectronics (AAOI) Cash & Equivalents (2012 - 2026)
Applied Optoelectronics' Cash & Equivalents was $499.74 million in Q2 2026, up 672.4% from $64.7 million a year earlier and up 13.7% from the prior quarter.
Applied Optoelectronics (AAOI) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Applied Optoelectronics came in at $206.14 million, up 205.7% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $67.43 million in FY2024 (+48.6%), $45.37 million in FY2023 (+83.8%), $24.69 million in FY2022 (-28.8%) and $34.66 million in FY2021 (-20.2%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q3 2012.
- Compared with a year earlier, Cash & Equivalents has increased for eight straight quarters, with growth averaging 382.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2026 (growth of 759.7%); the worst was Q2 2024 (a decline of 50.6%).
- Per Business Quant data, AAOI's Cash & Equivalents in the three quarters before Q2 2026 was $439.71 million (Q1 2026), $206.14 million (Q4 2025) and $136.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 39.54 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 11.57 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 2.29 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 4.76 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 1.70 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 1.58 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 13.61 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 2.04 Bn |
| 10 | Applied Optoelectronics | 9.75 Bn | 8.47 Bn | 53.21 Mn | 499.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 499.74 Mn |
| Mar 31, 2026 | 439.71 Mn |
| Dec 31, 2025 | 206.14 Mn |
| Sep 30, 2025 | 136.96 Mn |
| Jun 30, 2025 | 64.70 Mn |
| Mar 31, 2025 | 51.14 Mn |
| Dec 31, 2024 | 67.43 Mn |
| Sep 30, 2024 | 34.12 Mn |
| Jun 30, 2024 | 10.65 Mn |
| Mar 31, 2024 | 8.43 Mn |
| Dec 31, 2023 | 45.37 Mn |
| Sep 30, 2023 | 21.94 Mn |
| Jun 30, 2023 | 21.58 Mn |
| Mar 31, 2023 | 16.10 Mn |
| Dec 31, 2022 | 24.69 Mn |
| Sep 30, 2022 | 26.27 Mn |
| Jun 30, 2022 | 33.67 Mn |
| Mar 31, 2022 | 31.98 Mn |
| Dec 31, 2021 | 34.66 Mn |
| Sep 30, 2021 | 43.53 Mn |
Applied Optoelectronics Cash & Equivalents 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=cash-and-equivalents&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();