Intel (INTC) Return on Sales [ROS] (2009 - 2026)
Intel (INTC) posted Return on Sales [ROS] of 11.14% for Q2 2026, up 35.83 percentage points from -24.70% a year earlier and up 34.23 percentage points from the prior quarter.
Intel (INTC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Return on Sales [ROS] at Intel was -0.14%, up 22.71 percentage points year-over-year; for FY2025, it came in at -4.19%, up 17.80 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -34.60 percentage points (FY2020 to FY2025).
- In prior years, Intel's Return on Sales [ROS] was -21.99% in FY2024 (-22.16 pp), 0.17% in FY2023 (-3.53 pp), 3.70% in FY2022 (-20.92 pp) and 24.62% in FY2021 (-5.79 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.53 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2025, with a gain of 73.18 percentage points; the weakest was Q3 2024, with a drop of 68.12 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -23.10% (Q1 2026), 4.24% (Q4 2025) and 5.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 7.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 11.14% |
| Mar 28, 2026 | -23.10% |
| Dec 27, 2025 | 4.24% |
| Sep 27, 2025 | 5.00% |
| Jun 28, 2025 | -24.70% |
| Mar 29, 2025 | -2.38% |
| Dec 28, 2024 | 2.89% |
| Sep 28, 2024 | -68.18% |
| Jun 29, 2024 | -15.30% |
| Mar 30, 2024 | -8.40% |
| Dec 30, 2023 | 16.78% |
| Sep 30, 2023 | -0.06% |
| Jul 1, 2023 | -7.85% |
| Apr 1, 2023 | -12.53% |
| Dec 31, 2022 | -8.06% |
| Oct 1, 2022 | -1.14% |
| Jul 2, 2022 | -4.57% |
| Apr 2, 2022 | 23.65% |
| Dec 25, 2021 | 24.30% |
| Sep 25, 2021 | 27.24% |
Intel Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();