Applied Optoelectronics (AAOI) Revenue (2012 - 2026)
Applied Optoelectronics (AAOI) reported Revenue of $191.92 million for Q2 2026, up 86.4% from $102.95 million a year earlier and up 27.0% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Revenue (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Applied Optoelectronics' Revenue came in at $595.97 million, up 61.8% year-over-year; for FY2025, it was $455.72 million, up 82.8% from FY2024.
- Revenue has a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By year, Revenue came in at $249.37 million in FY2024 (+14.6%), $217.65 million in FY2023 (-2.3%), $222.82 million in FY2022 (+5.3%) and $211.57 million in FY2021 (-9.8%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q3 2012.
- Year over year, Revenue has now increased in each of the last nine quarters, with growth averaging 75.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2025 (growth of 145.5%); the low point was Q3 2021 (a decline of 30.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $151.14 million (Q1 2026), $134.27 million (Q4 2025) and $118.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 109.42 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 17.25 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 46.97 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 3.04 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 8.97 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 3.63 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 3.75 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 17.80 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 12.21 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 191.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.92 Mn |
| Mar 31, 2026 | 151.14 Mn |
| Dec 31, 2025 | 134.27 Mn |
| Sep 30, 2025 | 118.63 Mn |
| Jun 30, 2025 | 102.95 Mn |
| Mar 31, 2025 | 99.86 Mn |
| Dec 31, 2024 | 100.27 Mn |
| Sep 30, 2024 | 65.15 Mn |
| Jun 30, 2024 | 43.27 Mn |
| Mar 31, 2024 | 40.67 Mn |
| Dec 31, 2023 | 60.45 Mn |
| Sep 30, 2023 | 62.55 Mn |
| Jun 30, 2023 | 41.62 Mn |
| Mar 31, 2023 | 53.03 Mn |
| Dec 31, 2022 | 61.59 Mn |
| Sep 30, 2022 | 56.69 Mn |
| Jun 30, 2022 | 52.30 Mn |
| Mar 31, 2022 | 52.24 Mn |
| Dec 31, 2021 | 54.41 Mn |
| Sep 30, 2021 | 53.27 Mn |
API Access
Applied Optoelectronics Revenue 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=revenue&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();