Poet Technologies (POET) EV to EBITDA (2019 - 2022)
Poet Technologies' (POET) EV to EBITDA came in at 0.00 for the quarter ended Sep 30, 2022, up 187.7% from 0.00 a year earlier.
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Analysis
Poet Technologies (POET) EV to EBITDA (2019 - 2022) Analysis & Trends
For the year ended Nov 8, 2019, Poet Technologies' EV to EBITDA stood at 37.63.
- The figure for the quarter ended Sep 30, 2022 stands as the highest quarterly EV to EBITDA since the quarter ended Sep 30, 2020.
- On a year-over-year basis, EV to EBITDA increased in three of the last six quarters, with growth averaging 30.5%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Sep 30, 2020, with growth of 700.3%; the weakest was the quarter ended Mar 31, 2021, with a decline of 83.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 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 |
| 10 | Poet Technologies | 725.69 Mn | -886.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 0.00 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 0.00 |
| Jun 30, 2021 | 0.00 |
| Mar 31, 2021 | 0.00 |
| Dec 31, 2020 | 0.00 |
| Sep 30, 2020 | 0.00 |
| Jun 30, 2020 | 0.00 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.00 |
| Mar 31, 2019 | 0.00 |
API Access
Poet Technologies EV to EBITDA 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=ev-to-ebitda&ticker=POET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();