Applied Optoelectronics (AAOI) Payables (2012 - 2026)
Applied Optoelectronics (AAOI) posted Payables of $286.09 million for Q2 2026, up 115.2% from $132.96 million a year earlier and up 93.1% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Payables (2012 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics' Payables came in at $143.93 million, up 37.1% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- In prior years, Applied Optoelectronics' Payables was $104.97 million in FY2024 (+219.1%), $32.89 million in FY2023 (-31.3%), $47.85 million in FY2022 (+39.1%) and $34.4 million in FY2021 (+16.7%).
- The Q2 2026 figure stands as the highest quarterly Payables in data going back to Q4 2012.
- On a year-over-year basis, Payables has increased in each of the last eight quarters, with growth averaging 168.0% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2025, with growth of 428.2%; the weakest was Q3 2021, with a decline of 49.5%.
- According to Business Quant data, Payables for the three prior quarters was $148.16 million (Q1 2026), $143.93 million (Q4 2025) and $150.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 66.52 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 3.37 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 49.72 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 692.70 Mn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 976.00 Mn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 1.75 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 14.07 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 1.77 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 13.73 Bn |
| 10 | Applied Optoelectronics | 6.32 Bn | 5.04 Bn | 53.21 Mn | 286.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.09 Mn |
| Mar 31, 2026 | 148.16 Mn |
| Dec 31, 2025 | 143.93 Mn |
| Sep 30, 2025 | 150.15 Mn |
| Jun 30, 2025 | 132.96 Mn |
| Mar 31, 2025 | 124.87 Mn |
| Dec 31, 2024 | 104.97 Mn |
| Sep 30, 2024 | 55.99 Mn |
| Jun 30, 2024 | 33.52 Mn |
| Mar 31, 2024 | 23.64 Mn |
| Dec 31, 2023 | 32.89 Mn |
| Sep 30, 2023 | 34.85 Mn |
| Jun 30, 2023 | 35.11 Mn |
| Mar 31, 2023 | 38.42 Mn |
| Dec 31, 2022 | 47.85 Mn |
| Sep 30, 2022 | 52.31 Mn |
| Jun 30, 2022 | 52.50 Mn |
| Mar 31, 2022 | 40.04 Mn |
| Dec 31, 2021 | 34.40 Mn |
| Sep 30, 2021 | 28.33 Mn |
API Access
Applied Optoelectronics Payables 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=payables&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();