Applied Optoelectronics (AAOI) Long-Term Debt Issuances (2013 - 2026)
Applied Optoelectronics' Long-Term Debt Issuances was $33.41 million in Q2 2026, up 5.5% from $31.65 million a year earlier but down 5.2% from the prior quarter.
Applied Optoelectronics (AAOI) Long-Term Debt Issuances (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Optoelectronics' Long-Term Debt Issuances was $134.53 million through Jun 30, 2026, up 59.1% year-over-year; for FY2025, it came in at $121.41 million, up 175.0% from FY2024.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Issuances was $44.15 million in FY2024 (-22.6%), $57.06 million in FY2023 (+24.9%), $45.67 million in FY2022 (+85.5%) and $24.62 million in FY2021 (-38.4%).
- Quarterly Long-Term Debt Issuances has moved between $4.94 million (Q2 2024) and $35.23 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Debt Issuances has increased for seven straight quarters, with growth averaging 129.6% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Issuances over five years was Q2 2025 (growth of 541.1%); the worst was Q3 2021 (a decline of 51.2%).
- Per Business Quant data, AAOI's Long-Term Debt Issuances in the three quarters before Q2 2026 was $35.23 million (Q1 2026), $32.78 million (Q4 2025) and $33.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,087.13 Bn | 4,834.62 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 413.90 Bn | 349.82 Bn | 11.06 Bn | 2.41 Bn |
| 3 | Dell Technologies | 289.90 Bn | 245.66 Bn | 9.83 Bn | 4.39 Bn |
| 4 | Arista Networks | 215.69 Bn | 169.14 Bn | 1.91 Bn | - |
| 5 | Sandisk | 184.10 Bn | 172.62 Bn | 7.58 Bn | - |
| 6 | Sony | 161.13 Bn | 100.89 Bn | 6.53 Bn | 1.05 Bn |
| 7 | Seagate Technology Holdings | 145.63 Bn | 140.62 Bn | 1.90 Bn | - |
| 8 | Western Digital | 127.86 Bn | 115.99 Bn | 2.03 Bn | 450.00 Mn |
| 9 | Hewlett Packard Enterprise | 73.67 Bn | 51.55 Bn | 4.93 Bn | 316.00 Mn |
| 10 | Applied Optoelectronics | 5.74 Bn | 4.46 Bn | 53.21 Mn | 35.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.06 Mn |
| Mar 31, 2026 | 35.23 Mn |
| Dec 31, 2025 | 32.78 Mn |
| Sep 30, 2025 | 33.11 Mn |
| Jun 30, 2025 | 31.65 Mn |
| Mar 31, 2025 | 23.87 Mn |
| Dec 31, 2024 | 19.32 Mn |
| Sep 30, 2024 | 9.72 Mn |
| Jun 30, 2024 | 4.94 Mn |
| Mar 31, 2024 | 10.18 Mn |
| Dec 31, 2023 | 14.94 Mn |
| Sep 30, 2023 | 14.31 Mn |
| Jun 30, 2023 | 8.84 Mn |
| Mar 31, 2023 | 18.97 Mn |
| Dec 31, 2022 | 11.78 Mn |
| Sep 30, 2022 | 13.94 Mn |
| Jun 30, 2022 | 10.27 Mn |
| Mar 31, 2022 | 9.69 Mn |
| Dec 31, 2021 | 7.92 Mn |
| Sep 30, 2021 | 5.98 Mn |
Applied Optoelectronics Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();