Data I (DAIO) Capital Expenditures (2010 - 2026)
Data I (DAIO) reported Capital Expenditures of $8,000 for Q1 2026, down 85.7% from $56,000 a year earlier and down 96.1% from the prior quarter.
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Analysis
Data I (DAIO) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Data I's Capital Expenditures came in at $510,000, up 32.8% year-over-year; for FY2025, it came in at $558,000, up 19.5% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $467,000 in FY2024 (-60.9%), $1.2 million in FY2023 (+10.6%), $1.08 million in FY2022 (+73.4%) and $623,000 in FY2021 (-27.6%).
- Five-year quarterly Capital Expenditures spans a low of $5,000 in Q3 2025 and a high of $705,000 in Q4 2023.
- Year over year, Capital Expenditures gained in 1 of the last seven quarters, with an average decline of 60.0%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2022 (growth of 195.7%); the low point was Q3 2025 (a decline of 95.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $206,000 (Q4 2025), $5,000 (Q3 2025) and $291,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 2.46 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 1.24 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 29.70 Mn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 43.00 Mn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 187.00 Mn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 108.00 Mn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 166.80 Mn |
| 10 | Data I | 30.88 Mn | 30.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8,000.00 |
| Dec 31, 2025 | 206,000.00 |
| Sep 30, 2025 | 5,000.00 |
| Jun 30, 2025 | 291,000.00 |
| Mar 31, 2025 | 56,000.00 |
| Dec 31, 2024 | 188,000.00 |
| Sep 30, 2024 | 115,000.00 |
| Jun 30, 2024 | 25,000.00 |
| Mar 31, 2024 | 139,000.00 |
| Dec 31, 2023 | 705,000.00 |
| Sep 30, 2023 | 175,000.00 |
| Jun 30, 2023 | 132,000.00 |
| Mar 31, 2023 | 183,000.00 |
| Dec 31, 2022 | 286,000.00 |
| Sep 30, 2022 | 146,000.00 |
| Jun 30, 2022 | 376,000.00 |
| Mar 31, 2022 | 272,000.00 |
| Dec 31, 2021 | 262,000.00 |
| Sep 30, 2021 | 126,000.00 |
| Jun 30, 2021 | 143,000.00 |
API Access
Data I Capital Expenditures 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=capital-expenditures&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();