Applied Optoelectronics (AAOI) Short term Debt (2012 - 2026)
Applied Optoelectronics (AAOI) posted Short term Debt of $57.26 million for Q2 2026, up 158.1% from $22.18 million a year earlier and up 38.9% from the prior quarter.
Applied Optoelectronics (AAOI) Short term Debt (2012 - 2026) Analysis & Trends
At the end of FY2025, Applied Optoelectronics' Short term Debt came in at $33.98 million, up 51.9% from FY2024.
- Annual Short term Debt shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Applied Optoelectronics' Short term Debt was $22.37 million in FY2024 (-3.6%), $23.2 million in FY2023 (-59.4%), $57.07 million in FY2022 (+14.9%) and $49.69 million in FY2021 (+29.9%).
- The Q2 2026 figure stands as the highest quarterly Short term Debt since Q3 2023.
- On a year-over-year basis, Short term Debt has increased in each of the last three quarters, with growth averaging 28.0% over the last eight quarters.
- The strongest year-over-year quarter for Short term Debt in the past five years was Q2 2026, with growth of 158.1%; the weakest was Q2 2024, with a decline of 71.8%.
- According to Business Quant data, Short term Debt for the three prior quarters was $41.23 million (Q1 2026), $33.98 million (Q4 2025) and $27.98 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.26 Mn |
| Mar 31, 2026 | 41.23 Mn |
| Dec 31, 2025 | 33.98 Mn |
| Sep 30, 2025 | 27.98 Mn |
| Jun 30, 2025 | 22.18 Mn |
| Mar 31, 2025 | 20.31 Mn |
| Dec 31, 2024 | 22.37 Mn |
| Sep 30, 2024 | 29.48 Mn |
| Jun 30, 2024 | 22.51 Mn |
| Mar 31, 2024 | 24.13 Mn |
| Dec 31, 2023 | 23.48 Mn |
| Sep 30, 2023 | 111.45 Mn |
| Jun 30, 2023 | 117.19 Mn |
| Mar 31, 2023 | 130.63 Mn |
| Dec 31, 2022 | 57.07 Mn |
| Sep 30, 2022 | 51.36 Mn |
| Jun 30, 2022 | 53.57 Mn |
| Mar 31, 2022 | 52.23 Mn |
| Dec 31, 2021 | 49.69 Mn |
| Sep 30, 2021 | 41.25 Mn |
Applied Optoelectronics Short term Debt 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=short-term-debt&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();