Applied Optoelectronics (AAOI) Short-Term Debt repayments (2013 - 2026)
Applied Optoelectronics (AAOI) recorded Short-Term Debt repayments of $15.17 million in Q2 2026, down 2.5% from $15.57 million a year earlier but up 58.7% from the prior quarter.
Applied Optoelectronics (AAOI) Short-Term Debt repayments (2013 - 2026) Analysis & Trends
On a TTM basis, Applied Optoelectronics' Short-Term Debt repayments came in at $53.04 million as of Jun 30, 2026, up 6.6% year-over-year; for FY2025, it came in at $55.01 million, up 22.2% from FY2024.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $45.03 million in FY2024 (-73.8%), $172.01 million in FY2023 (+31.3%), $131.03 million in FY2022 (+17.7%) and $111.29 million in FY2021 (+15.9%).
- Quarterly Short-Term Debt repayments has ranged from $4.23 million in Q4 2025 to $100.17 million in Q4 2023 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments has declined for three consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 201.9% in Q3 2025, against a decline of 84.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.56 million (Q1 2026), $4.23 million (Q4 2025) and $24.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,094.46 Bn | 4,841.95 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 415.82 Bn | 351.75 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 290.96 Bn | 246.72 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 216.33 Bn | 169.79 Bn | 1.91 Bn | - |
| 5 | Sandisk | 186.25 Bn | 174.78 Bn | 7.58 Bn | - |
| 6 | Sony | 156.84 Bn | 94.10 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 140.29 Bn | 135.28 Bn | 1.90 Bn | - |
| 8 | Western Digital | 121.85 Bn | 109.98 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 74.03 Bn | 51.91 Bn | 4.93 Bn | - |
| 10 | Applied Optoelectronics | 5.55 Bn | 4.27 Bn | 53.21 Mn | 15.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.17 Mn |
| Mar 31, 2026 | 9.56 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 24.07 Mn |
| Jun 30, 2025 | 15.57 Mn |
| Mar 31, 2025 | 11.14 Mn |
| Dec 31, 2024 | 15.08 Mn |
| Sep 30, 2024 | 7.97 Mn |
| Jun 30, 2024 | 14.95 Mn |
| Mar 31, 2024 | 7.03 Mn |
| Dec 31, 2023 | 100.17 Mn |
| Sep 30, 2023 | 7.85 Mn |
| Jun 30, 2023 | 38.58 Mn |
| Mar 31, 2023 | 25.40 Mn |
| Dec 31, 2022 | 33.73 Mn |
| Sep 30, 2022 | 27.31 Mn |
| Jun 30, 2022 | 30.93 Mn |
| Mar 31, 2022 | 39.06 Mn |
| Dec 31, 2021 | 24.37 Mn |
| Sep 30, 2021 | 36.80 Mn |
Applied Optoelectronics Short-Term Debt repayments 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-repayments&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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-repayments&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();