Data I (DAIO) Other Accumulated Expenses (2010 - 2026)
Data I (DAIO) recorded Other Accumulated Expenses of $2.27 million in Q1 2026, up 88.6% from $1.21 million a year earlier and up 71.2% from the prior quarter.
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Analysis
Data I (DAIO) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I reported Other Accumulated Expenses of $1.33 million, up 14.4% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $1.16 million in FY2024 (-19.3%), $1.44 million in FY2023 (-9.9%), $1.6 million in FY2022 (+13.0%) and $1.41 million in FY2021 (+8.1%).
- The Q1 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 88.6% in Q1 2026, against a decline of 23.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.33 million (Q4 2025), $1.34 million (Q3 2025) and $1.38 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Data I | 30.98 Mn | 30.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.27 Mn |
| Dec 31, 2025 | 1.33 Mn |
| Sep 30, 2025 | 1.34 Mn |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 1.21 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.44 Mn |
| 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 Other 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=other-accumulated-expenses&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();