Intel (INTC) Payout Ratio (2009 - 2024)
Intel's Payout Ratio was 2.17 in Q2 2024, up 319.0% from the prior quarter.
Analysis
Intel (INTC) Payout Ratio (2009 - 2024) Analysis & Trends
For FY2023, Payout Ratio at Intel came in at 1.83, up 144.3% from FY2022.
- Payout Ratio has now increased for five consecutive years.
- In earlier years, Payout Ratio was 0.75 in FY2022 (+163.4%), 0.28 in FY2021 (+6.6%), 0.27 in FY2020 (+0.6%) and 0.26 in FY2019 (+0.7%).
- The Q2 2024 figure marks the highest quarterly Payout Ratio in data going back to Q2 2009.
- The best year-over-year quarter for Payout Ratio over five years was Q4 2022 (growth of 163.4%); the worst was Q1 2022 (a decline of 22.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn |
| 10 | Lam Research | 283.58 Bn | 259.63 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2024 | 2.17 |
| Mar 30, 2024 | 0.52 |
| Dec 30, 2023 | 1.83 |
| Dec 31, 2022 | 0.75 |
| Oct 1, 2022 | 0.44 |
| Jul 2, 2022 | 0.30 |
| Apr 2, 2022 | 0.23 |
| Dec 25, 2021 | 0.28 |
| Sep 25, 2021 | 0.26 |
| Jun 26, 2021 | 0.30 |
| Mar 27, 2021 | 0.30 |
| Dec 26, 2020 | 0.27 |
| Sep 26, 2020 | 0.25 |
| Jun 27, 2020 | 0.23 |
| Mar 28, 2020 | 0.24 |
| Dec 28, 2019 | 0.26 |
| Sep 28, 2019 | 0.29 |
| Jun 29, 2019 | 0.28 |
| Mar 30, 2019 | 0.27 |
| Dec 29, 2018 | 0.26 |
API Access
Intel Payout Ratio 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=payout-ratio&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "ticker": "INTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=payout-ratio&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();