Applied Optoelectronics (AAOI) Depreciation and Depletion (2013 - 2026)
Applied Optoelectronics (AAOI) recorded Depreciation and Depletion of $10.4 million in Q2 2026, up 65.1% from $6.3 million a year earlier and up 14.3% from the prior quarter.
Applied Optoelectronics (AAOI) Depreciation and Depletion (2013 - 2026) Analysis & Trends
On a TTM basis, Applied Optoelectronics' Depreciation and Depletion came in at $34.8 million as of Jun 30, 2026, up 56.8% year-over-year; for FY2025, it came in at $27.2 million, up 34.7% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $20.2 million in FY2024 (+2.5%), $19.7 million in FY2023 (-12.8%), $22.6 million in FY2022 (-8.9%) and $24.8 million in FY2021 (+2.5%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2013.
- On a year-over-year basis, Depreciation and Depletion has increased for eight consecutive quarters, with growth averaging 35.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 65.1% in Q2 2026, against a decline of 13.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.1 million (Q1 2026), $8 million (Q4 2025) and $7.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | - |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | - |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | - |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 37.60 Mn |
| 10 | Applied Optoelectronics | 9.75 Bn | 8.47 Bn | 53.21 Mn | 10.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.40 Mn |
| Mar 31, 2026 | 9.10 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 7.30 Mn |
| Jun 30, 2025 | 6.30 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 4.90 Mn |
| Dec 31, 2023 | 4.70 Mn |
| Sep 30, 2023 | 4.80 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 5.20 Mn |
| Dec 31, 2022 | 5.40 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 5.70 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 6.10 Mn |
| Sep 30, 2021 | 6.20 Mn |
Applied Optoelectronics Depreciation and Depletion 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=depreciation-and-depletion&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();