Poet Technologies (POET) Return on Capital Employed [ROCE] (2016 - 2023)
Poet Technologies (POET) posted Return on Capital Employed [ROCE] of -113.74% for the year ended Dec 31, 2025.
Analysis
Poet Technologies (POET) Return on Capital Employed [ROCE] (2016 - 2023) Analysis & Trends
Since the year ended Dec 31, 2012, Poet Technologies has reported Return on Capital Employed [ROCE] for 12 years.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +32.03 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 stands as the highest annual Return on Capital Employed [ROCE] since the year ended Dec 31, 2021.
- Business Quant data shows POET's Return on Capital Employed [ROCE] at -237.18% in the year ended Dec 31, 2023 (-116.66 pp), -120.52% in the year ended Dec 31, 2022 (-30.83 pp) and -89.68% in the year ended Dec 31, 2021 (+56.08 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Poet Technologies | 725.69 Mn | -886.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -326.66% |
| Dec 31, 2022 | -93,902,310.23% |
| Dec 31, 2021 | 34,973,595.73% |
| Dec 31, 2018 | -36.64% |
| Dec 31, 2017 | -21.69% |
| Sep 30, 2017 | -15.51% |
| Dec 31, 2016 | -11.27% |
API Access
Poet Technologies Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=POET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=POET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();