Applied Optoelectronics (AAOI) Shares Outstanding (Diluted) (2012 - 2026)
Applied Optoelectronics (AAOI) posted Shares Outstanding (Diluted) of 81.57 million for Q2 2026, up 43.7% from 56.77 million a year earlier and up 7.4% from the prior quarter.
Applied Optoelectronics (AAOI) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Applied Optoelectronics' Shares Outstanding (Diluted) came in at 60.18 million, up 44.9% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- In prior years, Applied Optoelectronics' Shares Outstanding (Diluted) was 41.54 million in FY2024 (+30.0%), 31.94 million in FY2023 (+14.7%), 27.85 million in FY2022 (+3.5%) and 26.91 million in FY2021 (+23.1%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2012.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 28 quarters, with growth averaging 40.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 2.7% (Q3 2022) and 51.8% (Q1 2026) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 75.98 million (Q1 2026), 60.18 million (Q4 2025) and 63.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 14.71 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 3.99 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 652.00 Mn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 1.28 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 155.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 229.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 383.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 6.01 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 1.45 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 81.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.57 Mn |
| Mar 31, 2026 | 75.98 Mn |
| Dec 31, 2025 | 60.18 Mn |
| Sep 30, 2025 | 63.33 Mn |
| Jun 30, 2025 | 56.77 Mn |
| Mar 31, 2025 | 50.04 Mn |
| Dec 31, 2024 | 41.54 Mn |
| Sep 30, 2024 | 42.31 Mn |
| Jun 30, 2024 | 39.37 Mn |
| Mar 31, 2024 | 38.36 Mn |
| Dec 31, 2023 | 31.94 Mn |
| Sep 30, 2023 | 32.77 Mn |
| Jun 30, 2023 | 29.49 Mn |
| Mar 31, 2023 | 28.87 Mn |
| Dec 31, 2022 | 27.85 Mn |
| Sep 30, 2022 | 27.84 Mn |
| Jun 30, 2022 | 27.61 Mn |
| Mar 31, 2022 | 27.46 Mn |
| Dec 31, 2021 | 26.91 Mn |
| Sep 30, 2021 | 27.10 Mn |
Applied Optoelectronics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();