Applied Optoelectronics (AAOI) Asset Writedowns and Impairment (2013 - 2018)
Applied Optoelectronics (AAOI) posted Asset Writedowns and Impairment of $3.19 million for Q3 2018, up 362.3% from $690,000 a year earlier and up 115.7% from the prior quarter.
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Analysis
Applied Optoelectronics (AAOI) Asset Writedowns and Impairment (2013 - 2018) Analysis & Trends
For the trailing twelve months through Sep 30, 2018, Asset Writedowns and Impairment at Applied Optoelectronics was $6.05 million, up 166.0% year-over-year; for FY2017, it came in at $1.87 million, down 49.7% from FY2016.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 39.6% (FY2013 to FY2017).
- In prior years, Applied Optoelectronics' Asset Writedowns and Impairment was $3.71 million in FY2016 (+30.9%), $2.83 million in FY2015 (+201.0%), $941,000 in FY2014 (+91.3%) and $492,000 in FY2013.
- The Q3 2018 figure stands as the highest quarterly Asset Writedowns and Impairment in data going back to Q1 2013.
- On a year-over-year basis, Asset Writedowns and Impairment has increased in each of the last three quarters, with growth averaging 122.9% over the last eight quarters.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was Q2 2018, with growth of 643.2%; the weakest was Q2 2017, with a decline of 85.7%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $1.48 million (Q2 2018), $877,000 (Q1 2018) and $501,000 (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 10 | Applied Optoelectronics | 9.75 Bn | 8.47 Bn | 53.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 3.19 Mn |
| Jun 30, 2018 | 1.48 Mn |
| Mar 31, 2018 | 877,000.00 |
| Dec 31, 2017 | 501,000.00 |
| Sep 30, 2017 | 690,000.00 |
| Jun 30, 2017 | 199,000.00 |
| Mar 31, 2017 | 476,000.00 |
| Dec 31, 2016 | 908,000.00 |
| Sep 30, 2016 | 1.01 Mn |
| Jun 30, 2016 | 1.39 Mn |
| Mar 31, 2016 | 407,000.00 |
| Dec 31, 2015 | 655,000.00 |
| Sep 30, 2015 | 926,000.00 |
| Jun 30, 2015 | 686,000.00 |
| Mar 31, 2015 | 565,000.00 |
| Dec 31, 2014 | -241,000.00 |
| Sep 30, 2014 | 414,000.00 |
| Jun 30, 2014 | 496,000.00 |
| Mar 31, 2014 | 272,000.00 |
| Dec 31, 2013 | -58,000.00 |
API Access
Applied Optoelectronics Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AAOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();