Agilent Technologies (A) Return on Capital Employed [ROCE] (2011 - 2026)
Agilent Technologies' Return on Capital Employed [ROCE] was 14.60% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.58 percentage points from 14.02% a year earlier and up 0.03 percentage points from the prior quarter.
Agilent Technologies (A) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Return on Capital Employed [ROCE] at Agilent Technologies came in at 14.88%, down 0.93 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +4.40 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 15.81% in FY2024 (+0.89 pp), 14.93% in FY2023 (-3.55 pp), 18.48% in FY2022 (+2.55 pp) and 15.93% in FY2021 (+5.45 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 13.82% (fiscal Q1 2026) and 18.98% (fiscal Q1 2023) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in four of the last eight quarters, with an average year-over-year change of -0.40 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2021 (a gain of 4.73 percentage points); the worst was fiscal Q1 2024 (a drop of 4.82 percentage points).
- Per Business Quant data, A's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 14.57% (Q2 2026), 13.82% (Q1 2026) and 14.60% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 10.83% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 6.00% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 14.60% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.60% |
| Apr 30, 2026 | 14.57% |
| Jan 31, 2026 | 13.82% |
| Oct 31, 2025 | 14.60% |
| Jul 31, 2025 | 14.02% |
| Apr 30, 2025 | 14.14% |
| Jan 31, 2025 | 14.78% |
| Oct 31, 2024 | 15.62% |
| Jul 31, 2024 | 17.43% |
| Apr 30, 2024 | 14.40% |
| Jan 31, 2024 | 14.16% |
| Oct 31, 2023 | 14.81% |
| Jul 31, 2023 | 15.75% |
| Apr 30, 2023 | 18.40% |
| Jan 31, 2023 | 18.98% |
| Oct 31, 2022 | 18.71% |
| Jul 31, 2022 | 18.00% |
| Apr 30, 2022 | 17.10% |
| Jan 31, 2022 | 15.62% |
| Oct 31, 2021 | 15.15% |
Agilent 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=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "A", "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=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();