Poet Technologies (POET) Intangibles (2016 - 2024)
Poet Technologies' Intangibles came in at $14.82 million for the quarter ended Sep 30, 2024, down 8.5% from $16.2 million a year earlier but up 0.1% from the prior quarter.
Poet Technologies (POET) Intangibles (2016 - 2024) Analysis & Trends
As of Dec 31, 2023, Poet Technologies' Intangibles was $16.16 million, down 13.6% from the prior year.
- Intangibles carries a five-year compound annual growth rate of 82.3% (years ended Dec 2018 to Dec 2023).
- Going back by year, Intangibles was $18.71 million in the year ended Dec 31, 2022 (-16.9%), $22.5 million in the year ended Dec 31, 2021, $438,677 in the year ended Dec 31, 2020 (-3.0%) and $452,384 in the year ended Dec 31, 2019 (-43.6%).
- The five-year range for quarterly Intangibles is $438,677 (the quarter ended Dec 31, 2020) to $22.5 million (the quarter ended Dec 31, 2021).
- Year-over-year, Intangibles has declined for four consecutive quarters, with an average decline of 13.4% over the last five quarters.
- Business Quant data shows POET's Intangibles at $14.8 million (quarter ended Jun 30, 2024), $15.4 million (quarter ended Mar 31, 2024) and $16.16 million (quarter ended Dec 31, 2023) in the three quarters before the quarter ended Sep 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.55 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 315.00 Mn |
| 10 | Poet Technologies | 725.69 Mn | -886.24 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 14.82 Mn |
| Jun 30, 2024 | 14.80 Mn |
| Mar 31, 2024 | 15.40 Mn |
| Dec 31, 2023 | 16.16 Mn |
| Sep 30, 2023 | 16.20 Mn |
| Jun 30, 2023 | 16.81 Mn |
| Mar 31, 2023 | 18.27 Mn |
| Dec 31, 2022 | 18.71 Mn |
| Dec 31, 2021 | 22.50 Mn |
| Dec 31, 2020 | 438,677.00 |
| Dec 31, 2019 | 452,384.00 |
| Sep 30, 2019 | 714,000.00 |
| Jun 30, 2019 | 714,000.00 |
| Mar 31, 2019 | 714,000.00 |
| Dec 31, 2018 | 802,409.00 |
| Sep 30, 2018 | 811,716.00 |
| Jun 30, 2018 | 821,023.00 |
| Mar 31, 2018 | 830,330.00 |
| Dec 31, 2017 | 839,637.00 |
| Sep 30, 2017 | 848,944.00 |
Poet Technologies Intangibles 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=intangibles&ticker=POET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();