Poet Technologies (POET) Prepaid Assets (2011 - 2026)
Poet Technologies (POET) posted Prepaid Assets of $2.75 million for the quarter ended Jun 30, 2026, up 44.4% from $1.91 million a year earlier and up 77.0% from the prior quarter.
Poet Technologies (POET) Prepaid Assets (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Poet Technologies' Prepaid Assets came in at $1.06 million, down 35.9% from the prior year.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 11.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Poet Technologies' Prepaid Assets was $1.66 million in the year ended Dec 31, 2024, $150,676 in the year ended Dec 31, 2023 (-45.3%), $275,507 in the year ended Dec 31, 2022 (-42.7%) and $480,523 in the year ended Dec 31, 2021 (-22.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Prepaid Assets since the quarter ended Dec 31, 2018.
- On a year-over-year basis, Prepaid Assets increased in four of the last seven quarters, with growth averaging 132.2%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Mar 31, 2025, with growth of 549.0%; the weakest was the quarter ended Mar 31, 2022, with a decline of 71.4%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $1.56 million (quarter ended Mar 31, 2026), $1.06 million (quarter ended Dec 31, 2025) and $824,069 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Mn |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 824,069.00 |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 1.66 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 618,753.00 |
| Mar 31, 2024 | 306,140.00 |
| Dec 31, 2023 | 150,676.00 |
| Sep 30, 2023 | 462,922.00 |
| Jun 30, 2023 | 295,548.00 |
| Mar 31, 2023 | 361,684.00 |
| Dec 31, 2022 | 275,507.00 |
| Sep 30, 2022 | 342,054.00 |
| Jun 30, 2022 | 381,723.00 |
| Mar 31, 2022 | 312,161.00 |
| Dec 31, 2021 | 480,523.00 |
| Sep 30, 2021 | 195,278.00 |
Poet Technologies Prepaid Assets 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=prepaid-assets&ticker=POET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();