Data I (DAIO) Gross Margin (2010 - 2026)
Data I (DAIO) posted Gross Margin of 49.51% for Q1 2026, down 2.11 percentage points from 51.62% a year earlier but up 6.49 percentage points from the prior quarter.
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Analysis
Data I (DAIO) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Gross Margin at Data I was 48.54%, down 4.44 percentage points year-over-year; for FY2025, it came in at 49.28%, down 4.03 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -3.95 percentage points (FY2020 to FY2025).
- In prior years, Data I's Gross Margin was 53.31% in FY2024 (-4.36 pp), 57.68% in FY2023 (+3.13 pp), 54.55% in FY2022 (-2.43 pp) and 56.98% in FY2021 (+3.74 pp).
- Quarterly Gross Margin has run from a low of 43.02% in Q4 2025 to a high of 60.74% in Q3 2021 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last six quarters, with an average year-over-year change of -3.83 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2023, with a gain of 13.11 percentage points; the weakest was Q4 2025, with a drop of 9.17 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 43.02% (Q4 2025), 50.70% (Q3 2025) and 49.76% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 50.06% |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 64.13% |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 20.93% |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 62.93% |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 84.57% |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 52.30% |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 36.70% |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 54.12% |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 40.34% |
| 10 | Data I | 24.65 Mn | 24.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 49.51% |
| Dec 31, 2025 | 43.02% |
| Sep 30, 2025 | 50.70% |
| Jun 30, 2025 | 49.76% |
| Mar 31, 2025 | 51.62% |
| Dec 31, 2024 | 52.19% |
| Sep 30, 2024 | 53.92% |
| Jun 30, 2024 | 54.46% |
| Mar 31, 2024 | 52.80% |
| Dec 31, 2023 | 58.06% |
| Sep 30, 2023 | 53.65% |
| Jun 30, 2023 | 59.11% |
| Mar 31, 2023 | 59.49% |
| Dec 31, 2022 | 55.54% |
| Sep 30, 2022 | 57.00% |
| Jun 30, 2022 | 57.83% |
| Mar 31, 2022 | 46.38% |
| Dec 31, 2021 | 54.38% |
| Sep 30, 2021 | 60.74% |
| Jun 30, 2021 | 56.99% |
API Access
Data I Gross Margin 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=gross-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();