Applied Optoelectronics (AAOI) Capital Expenditures (2013 - 2026)
Applied Optoelectronics' Capital Expenditures came in at $276.91 million for Q2 2026, up 986.8% from $25.48 million a year earlier and up 375.6% from the prior quarter.
Applied Optoelectronics (AAOI) Capital Expenditures (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Applied Optoelectronics reported Capital Expenditures of $460.41 million, up 420.0% year-over-year; for FY2025, it was $179.15 million, up 312.7% from FY2024.
- Capital Expenditures has increased in each of the last three years, with a five-year compound annual growth rate of 62.5% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $43.41 million in FY2024 (+378.1%), $9.08 million in FY2023 (+182.8%), $3.21 million in FY2022 (-59.8%) and $7.98 million in FY2021 (-49.5%).
- The Q2 2026 figure represents the highest quarterly Capital Expenditures in data going back to Q4 2013.
- Year-over-year, Capital Expenditures has increased for 13 consecutive quarters, with growth averaging 474.5% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2026 (growth of 986.8%), and the weakest in Q4 2022 (a decline of 68.7%).
- Business Quant data shows AAOI's Capital Expenditures at $58.23 million (Q1 2026), $75.04 million (Q4 2025) and $50.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 2.46 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 1.24 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 29.70 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 43.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 187.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 108.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 745.00 Mn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 276.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.91 Mn |
| Mar 31, 2026 | 58.23 Mn |
| Dec 31, 2025 | 75.04 Mn |
| Sep 30, 2025 | 50.25 Mn |
| Jun 30, 2025 | 25.48 Mn |
| Mar 31, 2025 | 28.39 Mn |
| Dec 31, 2024 | 28.38 Mn |
| Sep 30, 2024 | 6.29 Mn |
| Jun 30, 2024 | 2.98 Mn |
| Mar 31, 2024 | 5.76 Mn |
| Dec 31, 2023 | 6.16 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 885,000.00 |
| Mar 31, 2023 | 575,000.00 |
| Dec 31, 2022 | 760,000.00 |
| Sep 30, 2022 | 781,000.00 |
| Jun 30, 2022 | 647,000.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 2.43 Mn |
| Sep 30, 2021 | 1.97 Mn |
Applied Optoelectronics Capital Expenditures 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=capital-expenditures&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();