Data I (DAIO) Accumulated Expenses (2010 - 2026)
Data I's Accumulated Expenses came in at $698,000 for Q1 2026, up 6.6% from $655,000 a year earlier and up 1.2% from the prior quarter.
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Analysis
Data I (DAIO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I's Accumulated Expenses was $690,000, up 7.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $640,000 in FY2024 (-19.8%), $798,000 in FY2023 (-50.0%), $1.6 million in FY2022 (+13.0%) and $1.41 million in FY2021 (+8.1%).
- The Q1 2026 figure represents the highest quarterly Accumulated Expenses since Q3 2024.
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 22.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 20.5%), and the weakest in Q4 2023 (a decline of 50.0%).
- Business Quant data shows DAIO's Accumulated Expenses at $690,000 (Q4 2025), $682,000 (Q3 2025) and $673,000 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Data I | 30.46 Mn | 30.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 698,000.00 |
| Dec 31, 2025 | 690,000.00 |
| Sep 30, 2025 | 682,000.00 |
| Jun 30, 2025 | 673,000.00 |
| Mar 31, 2025 | 655,000.00 |
| Dec 31, 2024 | 640,000.00 |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 798,000.00 |
| Sep 30, 2023 | 1.51 Mn |
| Jun 30, 2023 | 1.54 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 1.60 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.44 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.28 Mn |
| Jun 30, 2021 | 1.29 Mn |
API Access
Data I Accumulated Expenses 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=accumulated-expenses&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();