Poet Technologies (POET) Price to Book (2015 - 2026)
Poet Technologies' (POET) Price to Book stood at 1.23 in the quarter ended Mar 31, 2026, down 82.4% from 7.02 a year earlier.
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Analysis
Poet Technologies (POET) Price to Book (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2024, Poet Technologies' Price to Book came in at 17.33, up 113.9% from the prior year.
- Across earlier years, Price to Book came in at 8.10 in the year ended Dec 31, 2023 (-18.9%), 9.99 in the year ended Dec 31, 2022 (-3.8%), 10.38 in the year ended Dec 31, 2021 (-68.5%) and 32.93 in the year ended Dec 31, 2020 (+676.5%).
- The figure for the quarter ended Mar 31, 2026 is the lowest quarterly Price to Book in data going back to the quarter ended Dec 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Poet Technologies | 678.65 Mn | -952.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,407.69 |
| Mar 31, 2026 | 1.75 |
| Dec 31, 2025 | 1,074.52 |
| Dec 31, 2024 | 22.00 |
| Dec 31, 2023 | 8.10 |
| Sep 30, 2023 | 13.13 |
| Dec 31, 2022 | 9.99 |
| Sep 30, 2022 | 7.23 |
| Dec 31, 2021 | 10.38 |
| Dec 31, 2020 | 32.93 |
| Dec 31, 2019 | 4.24 |
| Jun 30, 2019 | 5.24 |
| Dec 31, 2018 | 2.73 |
| Dec 31, 2017 | 1.92 |
| Jun 30, 2017 | 2.08 |
| Dec 31, 2016 | 1.93 |
| Jun 30, 2016 | 4.67 |
| Dec 31, 2015 | 9.46 |
API Access
Poet Technologies Price to Book 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=price-to-book&ticker=POET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();