Applied Optoelectronics (AAOI) Cost of Revenue (2012 - 2026)
Applied Optoelectronics' Cost of Revenue was $138.72 million in Q2 2026, up 93.2% from $71.79 million a year earlier and up 29.4% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Cost of Revenue (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Optoelectronics' Cost of Revenue was $423.64 million through Jun 30, 2026, up 61.8% year-over-year; for FY2025, it came in at $318.8 million, up 70.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $187.57 million in FY2024 (+18.2%), $158.73 million in FY2023 (-16.1%), $189.19 million in FY2022 (+8.8%) and $173.85 million in FY2021 (-5.6%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q3 2012.
- Compared with a year earlier, Cost of Revenue has increased for eight straight quarters, with growth averaging 71.7% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2025 (growth of 113.0%); the worst was Q4 2023 (a decline of 29.8%).
- Per Business Quant data, AAOI's Cost of Revenue in the three quarters before Q2 2026 was $107.23 million (Q1 2026), $92.33 million (Q4 2025) and $85.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 54.65 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 37.14 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 1.13 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 1.38 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 1.73 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 1.72 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 11.27 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 509.80 Mn |
| 10 | Applied Optoelectronics | 9.75 Bn | 8.47 Bn | 53.21 Mn | 138.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.72 Mn |
| Mar 31, 2026 | 107.23 Mn |
| Dec 31, 2025 | 92.33 Mn |
| Sep 30, 2025 | 85.37 Mn |
| Jun 30, 2025 | 71.79 Mn |
| Mar 31, 2025 | 69.32 Mn |
| Dec 31, 2024 | 71.54 Mn |
| Sep 30, 2024 | 49.23 Mn |
| Jun 30, 2024 | 33.71 Mn |
| Mar 31, 2024 | 33.08 Mn |
| Dec 31, 2023 | 38.85 Mn |
| Sep 30, 2023 | 42.37 Mn |
| Jun 30, 2023 | 33.72 Mn |
| Mar 31, 2023 | 43.79 Mn |
| Dec 31, 2022 | 55.36 Mn |
| Sep 30, 2022 | 46.94 Mn |
| Jun 30, 2022 | 43.67 Mn |
| Mar 31, 2022 | 43.22 Mn |
| Dec 31, 2021 | 46.31 Mn |
| Sep 30, 2021 | 45.14 Mn |
API Access
Applied Optoelectronics Cost of 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=cost-of-revenue&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();