Poet Technologies (POET) Change in Accured Expenses (2013 - 2026)
Poet Technologies (POET) recorded Change in Accured Expenses of $1.17 million in the quarter ended Jun 30, 2026, up 142.9% from $482,503 a year earlier but down 28.1% from the prior quarter.
Poet Technologies (POET) Change in Accured Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Poet Technologies' Change in Accured Expenses came in at -$553,219 as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$4.45 million.
- Across earlier years, Change in Accured Expenses came in at $34,074 in the year ended Dec 31, 2024, -$1.26 million in the year ended Dec 31, 2023, $1.6 million in the year ended Dec 31, 2022 and $70,323 in the year ended Dec 31, 2021.
- Quarterly Change in Accured Expenses has ranged from -$3.01 million in the quarter ended Dec 31, 2025 to $1.85 million in the quarter ended Dec 31, 2022 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.63 million (quarter ended Mar 31, 2026), -$3.01 million (quarter ended Dec 31, 2025) and -$344,824 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 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 | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Poet Technologies | 725.69 Mn | -886.24 Mn | - | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 1.63 Mn |
| Dec 31, 2025 | -3.01 Mn |
| Sep 30, 2025 | -344,824.00 |
| Jun 30, 2025 | 482,503.00 |
| Mar 31, 2025 | -1.57 Mn |
| Dec 31, 2024 | 703,303.00 |
| Sep 30, 2024 | -142,878.00 |
| Jun 30, 2024 | 302,400.00 |
| Mar 31, 2024 | -828,751.00 |
| Dec 31, 2023 | 747,476.00 |
| Sep 30, 2023 | -530,973.00 |
| Jun 30, 2023 | -766,669.00 |
| Mar 31, 2023 | -706,759.00 |
| Dec 31, 2022 | 1.85 Mn |
| Sep 30, 2022 | 305,454.00 |
| Jun 30, 2022 | -414,464.00 |
| Mar 31, 2022 | -139,990.00 |
| Dec 31, 2021 | 317,767.00 |
| Sep 30, 2021 | -679,765.00 |
Poet Technologies Change in Accured Expenses 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=change-in-accured-expenses&ticker=POET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();