Applied Optoelectronics (AAOI) Work In Process (2013 - 2026)
Applied Optoelectronics' Work In Process came in at $116.69 million for Q2 2026, up 90.7% from $61.21 million a year earlier but down 3.1% from the prior quarter.
Applied Optoelectronics (AAOI) Work In Process (2013 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics' Work In Process was $95.54 million, up 167.5% from FY2024.
- Work In Process carries a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, Work In Process was $35.72 million in FY2024 (+5.7%), $33.79 million in FY2023 (-14.6%), $39.56 million in FY2022 (-4.7%) and $41.53 million in FY2021 (-21.0%).
- The five-year range for quarterly Work In Process is $27.47 million (Q2 2024) to $120.48 million (Q1 2026).
- Year-over-year, Work In Process has increased for seven consecutive quarters, with growth averaging 93.4% over the last eight quarters.
- The fastest year-over-year change in Work In Process over five years came in Q4 2025 (growth of 167.5%), and the weakest in Q4 2021 (a decline of 21.0%).
- Business Quant data shows AAOI's Work In Process at $120.48 million (Q1 2026), $95.54 million (Q4 2025) and $77.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.69 Mn |
| Mar 31, 2026 | 120.48 Mn |
| Dec 31, 2025 | 95.54 Mn |
| Sep 30, 2025 | 77.21 Mn |
| Jun 30, 2025 | 61.21 Mn |
| Mar 31, 2025 | 45.92 Mn |
| Dec 31, 2024 | 35.72 Mn |
| Sep 30, 2024 | 30.65 Mn |
| Jun 30, 2024 | 27.47 Mn |
| Mar 31, 2024 | 30.10 Mn |
| Dec 31, 2023 | 33.79 Mn |
| Sep 30, 2023 | 32.84 Mn |
| Jun 30, 2023 | 32.29 Mn |
| Mar 31, 2023 | 33.61 Mn |
| Dec 31, 2022 | 39.56 Mn |
| Dec 31, 2021 | 41.53 Mn |
| Dec 31, 2020 | 52.54 Mn |
| Sep 30, 2020 | 58.52 Mn |
| Jun 30, 2020 | 53.05 Mn |
| Mar 31, 2020 | 50.44 Mn |
Applied Optoelectronics Work In Process 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=work-in-process&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();