Applied Optoelectronics (AAOI) Change in Inventory (2013 - 2026)
Applied Optoelectronics' Change in Inventory came in at $68.76 million for Q2 2026, up 97.3% from $34.85 million a year earlier and up 171.5% from the prior quarter.
Applied Optoelectronics (AAOI) Change in Inventory (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Applied Optoelectronics reported Change in Inventory of $143.77 million, up 67.1% year-over-year; for FY2025, it was $100.72 million, up 242.5% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $29.41 million in FY2024, -$6.79 million in FY2023, -$1.15 million in FY2022 and -$15.79 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Inventory in data going back to Q1 2013.
- Year-over-year, Change in Inventory increased in four of the last five quarters, with growth averaging 104.4%.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2024 (growth of 304.7%), and the weakest in Q2 2023 (a decline of 95.6%).
- Business Quant data shows AAOI's Change in Inventory at $25.33 million (Q1 2026), $16.11 million (Q4 2025) and $33.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 4.38 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 992.00 Mn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 6.23 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 155.20 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 460.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 41.00 Mn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 154.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | -811.88 Mn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 63.20 Mn |
| 10 | Applied Optoelectronics | 8.38 Bn | 7.09 Bn | 53.21 Mn | 68.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.76 Mn |
| Mar 31, 2026 | 25.33 Mn |
| Dec 31, 2025 | 16.11 Mn |
| Sep 30, 2025 | 33.56 Mn |
| Jun 30, 2025 | 34.85 Mn |
| Mar 31, 2025 | 16.19 Mn |
| Dec 31, 2024 | 26.65 Mn |
| Sep 30, 2024 | 8.34 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | -7.29 Mn |
| Dec 31, 2023 | -3.87 Mn |
| Sep 30, 2023 | 4.06 Mn |
| Jun 30, 2023 | 423,000.00 |
| Mar 31, 2023 | -7.40 Mn |
| Dec 31, 2022 | -13.88 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 9.55 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | -2.24 Mn |
| Sep 30, 2021 | -4.62 Mn |
Applied Optoelectronics Change in Inventory 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=change-in-inventory&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();