Data I (DAIO) Research & Development (2010 - 2026)
Data I (DAIO) recorded Research & Development of $1.29 million in Q1 2026, down 14.8% from $1.52 million a year earlier and down 21.5% from the prior quarter.
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Analysis
Data I (DAIO) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Data I's Research & Development came in at $6.31 million as of Mar 31, 2026, up 2.2% year-over-year; for FY2025, it came in at $6.53 million, up 4.7% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $6.24 million in FY2024 (-4.4%), $6.52 million in FY2023 (+7.2%), $6.08 million in FY2022 (-8.3%) and $6.64 million in FY2021 (+4.4%).
- The Q1 2026 figure is the lowest quarterly Research & Development since Q2 2011.
- On a year-over-year basis, Research & Development rose in three of the last eight quarters, with an average decline of 1.0%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 17.6% in Q2 2025, against a decline of 17.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.65 million (Q4 2025), $1.71 million (Q3 2025) and $1.66 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 188.00 Mn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 284.00 Mn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 104.40 Mn |
| 10 | Data I | 30.88 Mn | 30.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.65 Mn |
| Sep 30, 2025 | 1.71 Mn |
| Jun 30, 2025 | 1.66 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 1.41 Mn |
| Mar 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 1.72 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 1.56 Mn |
| Mar 31, 2022 | 1.62 Mn |
| Dec 31, 2021 | 1.63 Mn |
| Sep 30, 2021 | 1.73 Mn |
| Jun 30, 2021 | 1.67 Mn |
API Access
Data I Research & Development 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=research-and-development&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();