Texas Instruments (TXN) Return on Capital Employed [ROCE] (2009 - 2026)
Texas Instruments' Return on Capital Employed [ROCE] came in at 25.39% for Q3 2026, up 6.78 percentage points from 18.61% a year earlier and up 2.64 percentage points from the prior quarter.
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Analysis
Texas Instruments (TXN) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Texas Instruments' Return on Capital Employed [ROCE] was 18.89%, up 0.84 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -17.28 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 18.04% in FY2024 (-9.66 pp), 27.71% in FY2023 (-16.46 pp), 44.17% in FY2022 (-1.91 pp) and 46.08% in FY2021 (+9.91 pp).
- The Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +0.40 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2026 (a gain of 6.78 percentage points), and the weakest in Q3 2023 (a drop of 18.48 percentage points).
- Business Quant data shows TXN's Return on Capital Employed [ROCE] at 22.74% (Q2 2026), 20.73% (Q1 2026) and 19.04% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Texas Instruments | 277.42 Bn | 252.29 Bn | 3.89 Bn | 25.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.39% |
| Jun 30, 2026 | 22.74% |
| Mar 31, 2026 | 20.73% |
| Dec 31, 2025 | 19.04% |
| Sep 30, 2025 | 18.61% |
| Jun 30, 2025 | 18.27% |
| Mar 31, 2025 | 17.12% |
| Dec 31, 2024 | 17.20% |
| Sep 30, 2024 | 17.85% |
| Jun 30, 2024 | 19.02% |
| Mar 31, 2024 | 22.23% |
| Dec 31, 2023 | 25.57% |
| Sep 30, 2023 | 27.85% |
| Jun 30, 2023 | 32.01% |
| Mar 31, 2023 | 37.58% |
| Dec 31, 2022 | 42.88% |
| Sep 30, 2022 | 46.33% |
| Jun 30, 2022 | 44.98% |
| Mar 31, 2022 | 42.69% |
| Dec 31, 2021 | 41.86% |
API Access
Texas Instruments 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=TXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "TXN", "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=TXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();