Data I (DAIO) Property, Plant & Equipment (Net) (2010 - 2026)
Data I (DAIO) reported Property, Plant & Equipment (Net) of $700,000 for Q1 2026, down 24.0% from $921,000 a year earlier and down 13.3% from the prior quarter.
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Analysis
Data I (DAIO) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I posted Property, Plant & Equipment (Net) of $807,000, down 19.4% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1 million in FY2024 (-26.3%), $1.36 million in FY2023 (+26.8%), $1.07 million in FY2022 (+13.3%) and $946,000 in FY2021 (-22.2%).
- The Q1 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with an average decline of 9.7% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2023 (growth of 26.8%); the low point was Q2 2021 (a decline of 39.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $807,000 (Q4 2025), $925,000 (Q3 2025) and $1.05 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 51.43 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 2.76 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 7.42 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 312.50 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 674.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.03 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 2.48 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 8.89 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 1.16 Bn |
| 10 | Data I | 30.98 Mn | 30.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 700,000.00 |
| Dec 31, 2025 | 807,000.00 |
| Sep 30, 2025 | 925,000.00 |
| Jun 30, 2025 | 1.05 Mn |
| Mar 31, 2025 | 921,000.00 |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 928,000.00 |
| Jun 30, 2024 | 932,000.00 |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | 955,000.00 |
| Jun 30, 2023 | 989,000.00 |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 983,000.00 |
| Jun 30, 2022 | 1.04 Mn |
| Mar 31, 2022 | 953,000.00 |
| Dec 31, 2021 | 946,000.00 |
| Sep 30, 2021 | 940,000.00 |
| Jun 30, 2021 | 971,000.00 |
API Access
Data I Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();