Poet Technologies (POET) Other Operating Expenses (2012 - 2026)
Poet Technologies (POET) posted Other Operating Expenses of -$725.69 billion for the quarter ended Jun 30, 2026, compared with -$562.58 billion a year earlier.
Poet Technologies (POET) Other Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Poet Technologies was -$1.92 trillion; for the year ended Dec 31, 2025, it was $4.55 million, up 380.3% from the prior year.
- Annual Other Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 156.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Poet Technologies' Other Operating Expenses was $947,956 in the year ended Dec 31, 2024 (+303.4%), $234,990 in the year ended Dec 31, 2023 (+24.8%), $188,320 in the year ended Dec 31, 2022 (+150.8%) and $75,084 in the year ended Dec 31, 2021 (+82.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Other Operating Expenses since the quarter ended Dec 31, 2023.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$320.43 billion (quarter ended Mar 31, 2026), -$503.45 billion (quarter ended Dec 31, 2025) and -$371.41 billion (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | -725.69 Bn |
| Mar 31, 2026 | -320.43 Bn |
| Dec 31, 2025 | -503.45 Bn |
| Sep 30, 2025 | -371.41 Bn |
| Jun 30, 2025 | -562.58 Bn |
| Mar 31, 2025 | -276.18 Bn |
| Dec 31, 2024 | -679.16 Bn |
| Sep 30, 2024 | -480.87 Bn |
| Jun 30, 2024 | -366.84 Bn |
| Mar 31, 2024 | -409.73 Bn |
| Dec 31, 2023 | -902.37 Bn |
| Sep 30, 2023 | -273.91 Bn |
| Jun 30, 2023 | -255.09 Bn |
| Mar 31, 2023 | 313.40 Bn |
| Dec 31, 2022 | 430.67 Bn |
| Sep 30, 2022 | 57,429.00 |
| Jun 30, 2022 | 291.19 Bn |
| Mar 31, 2022 | -248.11 Bn |
| Dec 31, 2021 | 269.31 Bn |
| Sep 30, 2021 | 354.16 Bn |
Poet Technologies Other Operating 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=other-operating-expenses&ticker=POET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();