Hp (HPQ) Return on Capital Employed [ROCE] (2009 - 2026)
Hp's Return on Capital Employed [ROCE] was 31.11% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.14 percentage points from 27.97% a year earlier and up 5.79 percentage points from the prior quarter.
Hp (HPQ) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Return on Capital Employed [ROCE] at Hp came in at 27.41%, down 11.67 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -16.42 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 39.08% in FY2024 (+13.02 pp), 26.06% in FY2023 (-10.82 pp), 36.88% in FY2022 (-33.80 pp) and 70.68% in FY2021 (+26.86 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -2.09 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2021 (a gain of 25.20 percentage points); the worst was fiscal Q4 2022 (a drop of 31.01 percentage points).
- Per Business Quant data, HPQ's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 25.32% (Q2 2026), 24.98% (Q1 2026) and 27.47% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | 67.97% |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | 17.86% |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | 38.06% |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | 28.65% |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | 87.19% |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | 15.08% |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | 64.93% |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | 57.31% |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | 5.09% |
| 10 | Hp | 30.38 Bn | 15.65 Bn | 2.95 Bn | 31.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.11% |
| Apr 30, 2026 | 25.32% |
| Jan 31, 2026 | 24.98% |
| Oct 31, 2025 | 27.47% |
| Jul 31, 2025 | 27.97% |
| Apr 30, 2025 | 27.87% |
| Jan 31, 2025 | 31.10% |
| Oct 31, 2024 | 37.08% |
| Jul 31, 2024 | 35.89% |
| Apr 30, 2024 | 32.65% |
| Jan 31, 2024 | 29.03% |
| Oct 31, 2023 | 28.03% |
| Jul 31, 2023 | 28.15% |
| Apr 30, 2023 | 28.53% |
| Jan 31, 2023 | 32.58% |
| Oct 31, 2022 | 35.95% |
| Jul 31, 2022 | 40.05% |
| Apr 30, 2022 | 49.88% |
| Jan 31, 2022 | 62.42% |
| Oct 31, 2021 | 66.96% |
Hp 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=HPQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "HPQ", "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=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();