Poet Technologies (POET) Operating Leases (2019 - 2026)
Poet Technologies (POET) recorded Operating Leases of $391,548 in the quarter ended Jun 30, 2026, up 164.8% from $147,877 a year earlier and up 47.6% from the prior quarter.
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Analysis
Poet Technologies (POET) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Poet Technologies reported Operating Leases of $236,304, up 104.1% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of 6.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $115,793 in the year ended Dec 31, 2024 (-43.5%), $204,939 in the year ended Dec 31, 2023 (+35.8%), $150,951 in the year ended Dec 31, 2022 (+49.3%) and $101,074 in the year ended Dec 31, 2021 (-41.6%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Leases in data going back to the quarter ended Dec 31, 2019.
- On a year-over-year basis, Operating Leases has increased for three consecutive quarters, with growth averaging 24.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 164.8% in the quarter ended Jun 30, 2026, against a decline of 43.5% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $265,256 (quarter ended Mar 31, 2026), $236,304 (quarter ended Dec 31, 2025) and $147,877 (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 | 391,548.00 |
| Mar 31, 2026 | 265,256.00 |
| Dec 31, 2025 | 236,304.00 |
| Sep 30, 2025 | 147,877.00 |
| Jun 30, 2025 | 147,877.00 |
| Mar 31, 2025 | 254,204.00 |
| Dec 31, 2024 | 115,793.00 |
| Sep 30, 2024 | 162,109.00 |
| Jun 30, 2024 | 180,291.00 |
| Mar 31, 2024 | 201,920.00 |
| Dec 31, 2023 | 204,939.00 |
| Sep 30, 2023 | 232,408.00 |
| Jun 30, 2023 | 179,962.00 |
| Mar 31, 2023 | 141,535.00 |
| Dec 31, 2022 | 150,951.00 |
| Sep 30, 2022 | 193,269.00 |
| Jun 30, 2022 | 193,269.00 |
| Mar 31, 2022 | 150,257.00 |
| Dec 31, 2021 | 101,074.00 |
| Sep 30, 2021 | 150,257.00 |
API Access
Poet Technologies Operating Leases 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=operating-leases&ticker=POET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();