Data I (DAIO) Return on Capital Employed [ROCE] (2011 - 2026)
Data I's Return on Capital Employed [ROCE] came in at -59.62% for Q1 2026, down 46.68 percentage points from -12.94% a year earlier and down 28.52 percentage points from the prior quarter.
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Analysis
Data I (DAIO) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Data I's Return on Capital Employed [ROCE] was -29.08%, down 14.69 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -14.93 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -14.39% in FY2024 (-16.51 pp), 2.12% in FY2023 (+5.56 pp), -3.44% in FY2022 (-2.11 pp) and -1.33% in FY2021 (+12.83 pp).
- The Q1 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- Year-over-year, Return on Capital Employed [ROCE] has declined for nine consecutive quarters, with an average year-over-year change of -17.29 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2023 (a gain of 18.72 percentage points), and the weakest in Q1 2026 (a drop of 46.68 percentage points).
- Business Quant data shows DAIO's Return on Capital Employed [ROCE] at -31.10% (Q4 2025), -21.28% (Q3 2025) and -14.73% (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | 67.97% |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | 17.86% |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | 38.06% |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | 87.19% |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | 28.65% |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | 64.93% |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | 43.60% |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | 14.81% |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | 11.20% |
| 10 | Data I | 30.56 Mn | 30.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -59.62% |
| Dec 31, 2025 | -31.10% |
| Sep 30, 2025 | -21.28% |
| Jun 30, 2025 | -14.73% |
| Mar 31, 2025 | -12.94% |
| Dec 31, 2024 | -15.32% |
| Sep 30, 2024 | -7.90% |
| Jun 30, 2024 | -6.35% |
| Mar 31, 2024 | -2.76% |
| Dec 31, 2023 | 2.17% |
| Sep 30, 2023 | 4.26% |
| Jun 30, 2023 | 7.97% |
| Mar 31, 2023 | 3.74% |
| Dec 31, 2022 | -3.65% |
| Sep 30, 2022 | -8.13% |
| Jun 30, 2022 | -10.75% |
| Mar 31, 2022 | -5.96% |
| Dec 31, 2021 | -1.28% |
| Sep 30, 2021 | -7.58% |
| Dec 31, 2020 | -14.58% |
API Access
Data I 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=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DAIO", "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=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();