Poet Technologies (POET) Inventory (2011 - 2018)
Poet Technologies (POET) reported Inventory of $774,404 for the year ended Nov 8, 2019.
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Analysis
Poet Technologies (POET) Inventory (2011 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2011, Poet Technologies' Inventory record includes 5 years.
- Inventory has a three-year compound annual growth rate of -11.5% (years ended Nov 2016 to Nov 2019).
- The figure for the year ended Nov 8, 2019 ranks as the highest annual Inventory since the year ended Dec 31, 2016.
- According to Business Quant data, Inventory came in at $436,833 in the year ended Dec 31, 2018 (-16.7%), $524,582 in the year ended Dec 31, 2017 (-53.0%) and $1.12 million in the year ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Poet Technologies | 725.69 Mn | -886.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 436,833.00 |
| Sep 30, 2018 | 417,061.00 |
| Jun 30, 2018 | 424,513.00 |
| Mar 31, 2018 | 435,529.00 |
| Dec 31, 2017 | 524,582.00 |
| Sep 30, 2017 | 875,852.00 |
| Jun 30, 2017 | 969,309.00 |
| Mar 31, 2017 | 1.06 Mn |
| Dec 31, 2016 | 1.12 Mn |
| Sep 30, 2016 | 655,364.00 |
| Jun 30, 2016 | 493,183.00 |
| Dec 31, 2011 | 1.43 Mn |
API Access
Poet Technologies Inventory 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=inventory&ticker=POET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "POET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();