Applied Optoelectronics (AAOI) Total Debt (2012 - 2026)
Applied Optoelectronics' Total Debt was $57.26 million in Q2 2026, up 158.1% from $22.18 million a year earlier and up 38.9% from the prior quarter.
Applied Optoelectronics (AAOI) Total Debt (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Applied Optoelectronics came in at $33.98 million, up 27.3% from FY2024.
- Total Debt shows a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In earlier years, Total Debt was $26.68 million in FY2024 (+15.0%), $23.2 million in FY2023 (-59.4%), $57.07 million in FY2022 (+4.4%) and $54.69 million in FY2021 (+4.8%).
- The Q2 2026 figure marks the highest quarterly Total Debt since Q3 2023.
- Compared with a year earlier, Total Debt has increased for three straight quarters, with growth averaging 26.1% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was Q2 2026 (growth of 158.1%); the worst was Q2 2024 (a decline of 71.8%).
- Per Business Quant data, AAOI's Total Debt in the three quarters before Q2 2026 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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 84.34 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 29.53 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 34.47 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 | 3.57 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.05 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 7.55 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 20.24 Bn |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 57.26 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 | 22.12 Mn |
| Dec 31, 2024 | 26.68 Mn |
| Sep 30, 2024 | 29.48 Mn |
| Jun 30, 2024 | 22.51 Mn |
| Mar 31, 2024 | 24.13 Mn |
| Dec 31, 2023 | 23.20 Mn |
| Sep 30, 2023 | 80.12 Mn |
| Jun 30, 2023 | 79.92 Mn |
| Mar 31, 2023 | 79.71 Mn |
| Dec 31, 2022 | 57.07 Mn |
| Sep 30, 2022 | 51.36 Mn |
| Jun 30, 2022 | 53.57 Mn |
| Mar 31, 2022 | 57.23 Mn |
| Dec 31, 2021 | 54.69 Mn |
| Sep 30, 2021 | 60.53 Mn |
Applied Optoelectronics Total 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=total-debt&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();