Applied Optoelectronics (AAOI) Operating Leases (2019 - 2026)
Applied Optoelectronics (AAOI) reported Operating Leases of $73.92 million for Q2 2026, up 250.5% from $21.09 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics posted Operating Leases of $47.39 million, up 424.2% from FY2024.
- Operating Leases has a five-year compound annual growth rate of 43.0% (FY2020 to FY2025).
- By year, Operating Leases came in at $9.04 million in FY2024 (+91.3%), $4.73 million in FY2023 (-14.2%), $5.51 million in FY2022 (-23.4%) and $7.19 million in FY2021 (-9.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Leases in data going back to Q1 2019.
- Year over year, Operating Leases has now increased in each of the last seven quarters, with growth averaging 373.3% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q3 2025 (growth of 976.9%); the low point was Q3 2022 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $70.98 million (Q1 2026), $47.39 million (Q4 2025) and $40.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn |
| 10 | Applied Optoelectronics | 6.32 Bn | 5.04 Bn | 53.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.92 Mn |
| Mar 31, 2026 | 70.98 Mn |
| Dec 31, 2025 | 47.39 Mn |
| Sep 30, 2025 | 40.18 Mn |
| Jun 30, 2025 | 21.09 Mn |
| Mar 31, 2025 | 8.61 Mn |
| Dec 31, 2024 | 9.04 Mn |
| Sep 30, 2024 | 3.73 Mn |
| Jun 30, 2024 | 3.92 Mn |
| Mar 31, 2024 | 4.25 Mn |
| Dec 31, 2023 | 4.73 Mn |
| Sep 30, 2023 | 4.77 Mn |
| Jun 30, 2023 | 5.15 Mn |
| Mar 31, 2023 | 5.31 Mn |
| Dec 31, 2022 | 5.51 Mn |
| Sep 30, 2022 | 5.57 Mn |
| Jun 30, 2022 | 6.20 Mn |
| Mar 31, 2022 | 6.70 Mn |
| Dec 31, 2021 | 7.19 Mn |
| Sep 30, 2021 | 7.41 Mn |
API Access
Applied Optoelectronics Operating Leases 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=operating-leases&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();