Data I (DAIO) EBITDA Margin (2010 - 2026)
Data I's EBITDA Margin came in at -93.20% for Q1 2026, down 89.15 percentage points from -4.05% a year earlier and down 33.54 percentage points from the prior quarter.
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Analysis
Data I (DAIO) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Data I reported EBITDA Margin of -39.66%, down 30.32 percentage points year-over-year; for FY2025, it came in at -21.49%, down 10.13 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -10.36 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -11.36% in FY2024 (-15.13 pp), 3.76% in FY2023 (+4.54 pp), -0.78% in FY2022 (-2.31 pp) and 1.53% in FY2021 (+12.66 pp).
- The Q1 2026 figure represents the lowest quarterly EBITDA Margin in data going back to Q3 2010.
- Year-over-year, EBITDA Margin has declined for four consecutive quarters, with an average year-over-year change of -23.45 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q1 2023 (a gain of 29.11 percentage points), and the weakest in Q1 2026 (a drop of 89.15 percentage points).
- Business Quant data shows DAIO's EBITDA Margin at -59.66% (Q4 2025), -23.29% (Q3 2025) and -11.85% (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 35.66% |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 28.41% |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 13.07% |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 46.16% |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 78.92% |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 44.89% |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 25.63% |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 44.36% |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 18.48% |
| 10 | Data I | 24.65 Mn | 24.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -93.20% |
| Dec 31, 2025 | -59.66% |
| Sep 30, 2025 | -23.29% |
| Jun 30, 2025 | -11.85% |
| Mar 31, 2025 | -4.05% |
| Dec 31, 2024 | -22.64% |
| Sep 30, 2024 | -3.58% |
| Jun 30, 2024 | -8.34% |
| Mar 31, 2024 | -10.79% |
| Dec 31, 2023 | 4.63% |
| Sep 30, 2023 | 1.77% |
| Jun 30, 2023 | 3.99% |
| Mar 31, 2023 | 4.52% |
| Dec 31, 2022 | 10.26% |
| Sep 30, 2022 | 11.92% |
| Jun 30, 2022 | -12.04% |
| Mar 31, 2022 | -24.59% |
| Dec 31, 2021 | -0.69% |
| Sep 30, 2021 | 4.58% |
| Jun 30, 2021 | 3.86% |
API Access
Data I EBITDA 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=ebitda-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();