Data I (DAIO) Revenue (2010 - 2026)
Data I's Revenue was $3.25 million in Q1 2026, down 47.4% from $6.18 million a year earlier and down 18.4% from the prior quarter.
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Analysis
Data I (DAIO) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Data I's Revenue was $18.58 million through Mar 31, 2026, down 15.0% year-over-year; for FY2025, it came in at $21.5 million, down 1.2% from FY2024.
- Revenue shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Revenue was $21.77 million in FY2024 (-22.4%), $28.06 million in FY2023 (+15.9%), $24.22 million in FY2022 (-6.3%) and $25.84 million in FY2021 (+27.1%).
- The Q1 2026 figure marks the lowest quarterly Revenue in data going back to Q2 2010.
- Compared with a year earlier, Revenue has declined for three straight quarters, with an average decline of 15.7% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q2 2023 (growth of 55.1%); the worst was Q1 2026 (a decline of 47.4%).
- Per Business Quant data, DAIO's Revenue in the three quarters before Q1 2026 was $3.98 million (Q4 2025), $5.39 million (Q3 2025) and $5.95 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 109.42 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 17.25 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 46.97 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 3.04 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 8.97 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 3.63 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 3.75 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 17.80 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 12.21 Bn |
| 10 | Data I | 29.63 Mn | 29.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.25 Mn |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 5.39 Mn |
| Jun 30, 2025 | 5.95 Mn |
| Mar 31, 2025 | 6.18 Mn |
| Dec 31, 2024 | 5.19 Mn |
| Sep 30, 2024 | 5.42 Mn |
| Jun 30, 2024 | 5.06 Mn |
| Mar 31, 2024 | 6.10 Mn |
| Dec 31, 2023 | 6.87 Mn |
| Sep 30, 2023 | 6.56 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 7.23 Mn |
| Dec 31, 2022 | 7.27 Mn |
| Sep 30, 2022 | 7.21 Mn |
| Jun 30, 2022 | 4.77 Mn |
| Mar 31, 2022 | 4.97 Mn |
| Dec 31, 2021 | 6.36 Mn |
| Sep 30, 2021 | 6.73 Mn |
| Jun 30, 2021 | 6.73 Mn |
API Access
Data I Revenue 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=revenue&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();