Data I (DAIO) Operating Margin (2010 - 2026)
Data I (DAIO) recorded Operating Margin of -96.74% in Q1 2026, down 90.63 percentage points from -6.10% a year earlier and down 33.91 percentage points from the prior quarter.
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Analysis
Data I (DAIO) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Data I's Operating Margin came in at -42.44% as of Mar 31, 2026, down 30.75 percentage points year-over-year; for FY2025, it came in at -23.80%, down 9.84 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -8.65 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -13.96% in FY2024 (-15.55 pp), 1.60% in FY2023 (+4.69 pp), -3.09% in FY2022 (-2.04 pp) and -1.06% in FY2021 (+14.08 pp).
- The Q1 2026 figure is the lowest quarterly Operating Margin in data going back to Q2 2010.
- On a year-over-year basis, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of -23.67 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 29.75 percentage points in Q1 2023, against a drop of 90.63 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -62.83% (Q4 2025), -25.83% (Q3 2025) and -14.19% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 78.49% |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 16.79% |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 27.76% |
| 10 | Data I | 30.46 Mn | 30.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -96.74% |
| Dec 31, 2025 | -62.83% |
| Sep 30, 2025 | -25.83% |
| Jun 30, 2025 | -14.19% |
| Mar 31, 2025 | -6.10% |
| Dec 31, 2024 | -24.82% |
| Sep 30, 2024 | -5.99% |
| Jun 30, 2024 | -11.18% |
| Mar 31, 2024 | -14.10% |
| Dec 31, 2023 | 2.59% |
| Sep 30, 2023 | -0.96% |
| Jun 30, 2023 | 2.22% |
| Mar 31, 2023 | 2.34% |
| Dec 31, 2022 | 8.62% |
| Sep 30, 2022 | 9.87% |
| Jun 30, 2022 | -15.24% |
| Mar 31, 2022 | -27.41% |
| Dec 31, 2021 | -3.07% |
| Sep 30, 2021 | 2.11% |
| Jun 30, 2021 | 1.63% |
API Access
Data I Operating 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=operating-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();