Applied Optoelectronics (AAOI) Change in Accured Expenses (2013 - 2026)
Applied Optoelectronics (AAOI) recorded Change in Accured Expenses of $14.33 million in Q2 2026, up 114.0% from $6.7 million a year earlier.
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Analysis
Applied Optoelectronics (AAOI) Change in Accured Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Applied Optoelectronics' Change in Accured Expenses came in at $26.55 million as of Jun 30, 2026, up 162.8% year-over-year; for FY2025, it was $26.51 million, up 592.7% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 259.7% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $3.83 million in FY2024 (+187.3%), $1.33 million in FY2023 (-74.7%), $5.26 million in FY2022 and -$3.09 million in FY2021.
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses in data going back to Q1 2013.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 497.8% in Q3 2025, against a decline of 74.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$9.16 million (Q1 2026), $10.84 million (Q4 2025) and $10.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 789.00 Mn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | - |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 182.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 50.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | - |
| 10 | Applied Optoelectronics | 8.17 Bn | 6.89 Bn | 53.21 Mn | 14.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.33 Mn |
| Mar 31, 2026 | -9.16 Mn |
| Dec 31, 2025 | 10.84 Mn |
| Sep 30, 2025 | 10.54 Mn |
| Jun 30, 2025 | 6.70 Mn |
| Mar 31, 2025 | -1.57 Mn |
| Dec 31, 2024 | 3.22 Mn |
| Sep 30, 2024 | 1.76 Mn |
| Jun 30, 2024 | 3.92 Mn |
| Mar 31, 2024 | -5.07 Mn |
| Dec 31, 2023 | 1.93 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 1.46 Mn |
| Mar 31, 2023 | -3.82 Mn |
| Dec 31, 2022 | 7.57 Mn |
| Sep 30, 2022 | 418,000.00 |
| Jun 30, 2022 | -459,000.00 |
| Mar 31, 2022 | -2.27 Mn |
| Dec 31, 2021 | -720,000.00 |
| Sep 30, 2021 | 710,000.00 |
API Access
Applied Optoelectronics Change in Accured Expenses 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=change-in-accured-expenses&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();