STMicroelectronics (STM) Dividend Yield (2013 - 2016)
STMicroelectronics (STM) recorded Dividend Yield of 1.39% in the year ended Dec 31, 2025, up 0.11 percentage points from 1.28% a year earlier.
STMicroelectronics (STM) Dividend Yield (2013 - 2016) Analysis & Trends
Starting with the year ended Dec 31, 2009, STMicroelectronics' Dividend Yield history includes 17 years.
- Annual Dividend Yield has a five-year change of +0.90 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Dividend Yield since the year ended Dec 31, 2018.
- Per Business Quant data, STM's Dividend Yield was 1.28% in the year ended Dec 31, 2024 (+0.79 pp), 0.49% in the year ended Dec 31, 2023 (-0.17 pp), 0.66% in the year ended Dec 31, 2022 (+0.20 pp) and 0.46% in the year ended Dec 31, 2021 (-0.03 pp).
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 | STMicroelectronics | 50.91 Bn | 37.11 Bn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 12.58% |
| Dec 31, 2015 | 24.01% |
| Dec 31, 2014 | 21.17% |
| Dec 31, 2013 | 17.40% |
STMicroelectronics Dividend Yield 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=dividend-yield&ticker=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "STM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();