Poet Technologies (POET) Price to Sales (2017 - 2026)
Poet Technologies' (POET) Price to Sales stood at 0.00 in the quarter ended Jun 30, 2026, down 16.7% from 0.00 a year earlier but up 42.6% from the prior quarter.
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Analysis
Poet Technologies (POET) Price to Sales (2017 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Poet Technologies' Price to Sales came in at 548.61, down 93.7% from the prior year.
- Across earlier years, Price to Sales came in at 8652.99 in the year ended Dec 31, 2024, 85.75 in the year ended Dec 31, 2023 (-58.5%), 206.75 in the year ended Dec 31, 2022 (+86.2%) and 111.02 in the year ended Dec 31, 2021 (+35.3%).
- Quarterly Price to Sales has ranged from 0.00 in the quarter ended Dec 31, 2023 to 0.00 in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, Price to Sales has declined for three consecutive quarters, with an average decline of 9.9% over the last four quarters.
- Peak year-over-year performance for Price to Sales in the last five years was growth of 137.6% in the quarter ended Jun 30, 2022, against a decline of 77.2% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.00 (quarter ended Mar 31, 2026), 0.00 (quarter ended Dec 31, 2025) and 0.00 (quarter ended Sep 30, 2025).
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 |
|---|---|
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.00 |
| Dec 31, 2021 | 0.00 |
| Jun 30, 2021 | 0.00 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.00 |
API Access
Poet Technologies Price to Sales 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-sales&ticker=POET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();